Making research everybody's business-Innovation to introduce Foundation doctors to research

In order to train a future workforce able to meet the needs of its patients it is vital to ensure that opportunities to engage in research are inbuilt to training programmes. This strategy meets national recommendations recently published by NIHR, RCP and GMC. A nationally funded expansion of 'standard' Foundation programmes offers a unique opportunity to develop innovative new posts which include exposure to clinical research. In NHSE Midlands a pilot Foundation Year two (F2) post in Diabetes Research was implemented in August 2022, embedded into a standard Foundation programme. Subjective evaluation of the post, by F2 doctors and trainers, has been very positive and a further two posts in Research and Innovation commence August 2023 and 2024. These unique and geographically co-located programmes also aim to support the widening participation in medicine agenda. This model could be adapted within any Foundation School.

Can fintech pave the way for a transition towards low-carbon economy? Examination based on machine learning algorithm

Realizing the coordination between the economic and environmental systems through a green growth model is an important goal for China to enter the high-quality development stage. Meanwhile, financial technology (fintech) is rapidly developing in China. To explore the relationship between the two, this research uses panel data from 276 cities in China from 2011 to 2022 and empirically tests through constructing econometric models and machine learning algorithms. The empirical result shows that fintech has an impact on green growth. Specifically, there is a U-shaped relationship between fintech and green growth, meaning that before a certain stage, fintech may have a certain inhibitory effect on green growth. After fintech exceeds a certain development level, it will promote the improvement of green growth. Further mediation tests show that innovation plays a mediating role in the impact of fintech on green growth. Additionally, this research also conducts consistency tests based on different criteria including the location, scale, and financial development level of cities. Based on the research findings, policy suggestions are proposed in this paper to promote the development of fintech and stimulate the growth of the green economy. Overall, our research sheds more light on the fintech-green growth linkage and provides new insights into comprehending the role of fintech in advancing towards a low-carbon economy.

Challenges experienced by pediatric nurses in the process of developing innovative products: A qualitative study

OBJECTIVE

As essential healthcare providers, nurses are key to contributing innovations to improve the quality of care. This study aimed to explore the challenges pediatric nurses face in developing and patenting innovative products.

METHOD

A qualitative descriptive design has been used in this study. The study sample consists of pediatric nurses who had developed innovative products and successfully obtained product registrations. Purposive sampling was used to select 17 pediatric nurses who met the inclusion criteria. Data were collected through semi-structured, individual, in-depth interviews.

RESULTS

Two main themes and two related subthemes were identified. The first main theme is 'product development and management challenges.' The subthemes of this theme are 'unknown ecosystem' and 'burnout.' The second theme is 'protecting ideas and innovation.' The subthemes of this theme are 'fear of idea theft' and 'dead patents.'

CONCLUSION

Nurses face challenges, such as taking part in an unfamiliar innovation ecosystem, burnout due to long processes, and fear of idea theft. At the same time, commercialization of these innovations and market demand emerge as additional challenges.

PRACTICE IMPLICATIONS

Identifying the challenges experienced by pediatric nurses during the innovation process can help to develop strategies to overcome difficulties, create an innovation culture, and increase the quality of pediatric patient care.

Cost of Care, Access to Care, and Payment Options in Veterinary Practice

Accessing veterinary care is increasingly challenging for US pet families. Although there are many contributing factors, the cost of care presents the greatest challenge. This article explores the ways in which payment options, a spectrum of care approach, and the stratification of care might improve access to care.

Does the energy-consuming right trading system promote green technology innovation of enterprises?

To achieve the high-quality economic development, China implemented the energy-consuming right trading system, aiming to leverage market-oriented environmental regulations to drive enterprises' green transformation. The purpose of this paper is to figure out whether the energy-consuming right trading system has promoted the green technology innovation of enterprises. Using the empirical analysis method, the paper samples 718 listed industrial enterprises from 2014 to 2019 and constructs a DID model to assess the impact. The results indicate a significant promotion of green technology innovation by the trading system. Non-state-owned and non-high-energy-consuming enterprises exhibit greater sensitivity to the energy-consuming right trading system. Additionally, the institutional environment plays a regulatory role in promoting green innovation of enterprises. Furthermore, it is found that the energy-consuming right trading system influences enterprises by enhancing capital allocation efficiency. The findings are valuable for the government in shaping energy policies and fostering the green transformation of enterprises.

Design of an innovative sanitation system for bike-sharing service

The concept of a novel sanitization device specifically designed for helmets used in bike share services is presented in this scientific work. The system uses ozone, a powerful oxidizing agent, to completely remove dust and bacteria from the helmet surface. Throughout the development process, special attention has been paid to the dual initial goals of efficacy in removing dirt and batteries, as well as ease of use related to the device's safety. In fact, today's sharing services are rarely capable of providing adequate disinfection of the tools, which is especially troubling given the most recent years of pandemic caused by Covid-19. The invention of the ozone-based sanitization device addresses the growing concern about hygiene and safety in bike share services. Furthermore, due to its portability and ease of use, the device is a cost-effective and viable solution for use in a variety of settings. A significant contribution to the advancement of sanitization technology and public health is expected with this work.

Exploring business models for managing uncertainty in healthcare, medical devices, and biotechnology industries

The medical devices, biotechnology, and healthcare industries are closely tied to innovation, with companies relying on research and development and new product introduction. However, innovation activities like research and development can be costly, and commercializing new products faces complexities. Having effective business models (BMs) aligned with such innovation activities is crucial. This study delves into the intricacies of BMs in these innovator companies, emphasizing the pivotal role of effective BMs in navigating uncertainties and fostering innovation. This study conducted a systematic literature review to synthesize knowledge on BMs in innovator health-tech companies and compare models on dimensions like infrastructure, offering, customers, and finances. The review of 34 recent papers revealed 9 key BMs - open innovation, sustainable, dynamic, dual, spin-off, frugal, high-tech entrepreneurial content marketing, back-end, and product-service systems BMs. The analysis found open innovation, sustainability, and dynamicity as foundational models that can serve as a basis when combined with others. The paper unveils a tailored Dynamic Sustainable Business Model (DSBM) for Health-Tech, designed to integrate adaptability and sustainability, providing a framework for companies to leverage emerging technologies effectively. Additionally, a conceptual framework outlining 28 groups of uncertainty factors in BMs was developed to aid risk management in health-tech. The findings offer crucial insights for companies in health-tech industries, aiding them in managing innovation and value creation amidst a rapidly evolving landscape.

The role of bioethics services in paediatric intensive care units: a qualitative descriptive study

BACKGROUND

There is considerable variation in the functionality of bioethical services in different institutions and countries for children in hospital, despite new challenges due to increasing technology supports for children with serious illness and medical complexity. We aimed to understand how bioethics services address bioethical concerns that are increasingly encountered in paediatric intensive care.

METHODS

A qualitative descriptive design was used to describe clinician's perspectives on the functionality of clinical bioethics services for paediatric intensive care units. Clinicians who were members of formal or informal clinical bioethics groups, or who were closely involved with the process of working through ethically challenging decisions, were interviewed. Interviews took place online. Resulting transcripts were analysed using thematic analysis.

RESULTS

From 33 interviews, we identified four themes that described the functionality of bioethics services when a child requires technology to sustain life: striving for consensus; the importance of guidelines; a structure that facilitates a time-sensitive and relevant response; and strong leadership and teamwork.

CONCLUSIONS

Clinical bioethics services have the potential to expand their role due to the challenges brought by advancing medical technology and the increasing options it brings for treatment. Further work is needed to identify where and how bioethics services can evolve and adapt to fully address the needs of the decision-makers in PICU.

Social work collective leadership in a large urban hospital during an era of unprecedented transformational change

This Department of Social Work Services (the Department) is one of the largest hospital social work departments in the country, with almost 600 staff, in the largest of eight hospitals and one medical school of a major health system. The Department's senior directors (three current and one former) share its innovative and effective collective leadership model that was initially developed in response to a confluence of unprecedented complex events stemming from the Covid-19 pandemic. The experiences of these co-leaders, an evaluation of the model, future internal considerations as its applicability to other health care settings will be discussed.

Integrating China in the International Consortium for Personalised Medicine: a position paper on innovation and digitalization in Personalized Medicine

BACKGROUND

The advent of Personalized Medicine (PM) holds significant promise in revolutionizing healthcare by tailoring treatments to individual patients based on their data. However, its successful implementation requires the seamless integration of innovative technologies and presents formidable challenges in terms of sustainability. To tackle these challenges head-on, the International Consortium for Personalized Medicine (ICPerMed) was established, and the IC2PerMed project, as part of this consortium, seeks to foster collaboration between the European Union (EU) and China in the field of Personalized Medicine. Based on the results collected by the project, the objective of this study is to discern the key priorities for the implementation of Personalised Medicine concerning Information and Communication Technologies (ICT) and Big Data and digital solutions, with a particular emphasis on data management and protection.

METHODS

A Delphi survey was conducted to gather expert's consensus on the main priorities for actions on Information and Communication Technologies (ICT) and Big Data and digital solutions in the field of Personalized Medicine.

RESULTS

The survey identified seven priorities in the area of Big Data and digital solutions, including data interoperability, standards, security measures, and international partnerships. Additionally, twelve priorities were identified for the innovation-to-market process, emphasizing cost-effectiveness, need assessment, and value definition in resource allocation.

CONCLUSIONS

The effective implementation of new technologies in Personalized Medicine research and practice is essential for the advancement of healthcare systems in both the European and Chinese contexts. The identified priorities play a pivotal role in promoting the sustainability of health systems and driving innovation in the implementation of Personalized Medicine. Addressing challenges related to data interoperability, standards, security, international collaboration, cost-effectiveness, and value assessment is of utmost importance in order to propel the progress of Personalized Medicine in healthcare systems.

Outside the Operating Room: Alternative Pathways for Doctors and Surgeons to Lead

In this article, we ask the reader to fully vet why they want to lead and who they want to lead. We then describe the different leaderships styles needed to effectively lead and deliver executive outcomes. We discuss the novel concept of different coachability styles and explain how an effective leader must understand when to apply one leadership style over another and which person of team will respond better to style over the others. The novel metric called the EQI-the efficiency quality index-by definition prevents this problem and is described and discussed.

Is oligometastatic disease an applicable and useful concept in haematologic malignancies? A narrative review of radiation therapy standards, modern techniques, and innovations

PURPOSE

Haematologic malignancies are particular in that they can generally be cured, even when distant metastases are present at diagnosis, unlike solid malignancies. Systemic treatments, including chemotherapy, targeted therapies, and immunotherapy, are the standard of care with excellent results. The considerable progress made in the management of these diseases in the last 20years has redefined the role of radiation therapy as minor in many clinical situations. We propose a literature review of data, showing that radiation therapy still has a role in curative, salvage, and palliative therapy situations.

MATERIAL AND METHODS

A document and literature search was carried out in the following databases: Medline and ClinicalTrial.gov, for the terms "radiotherapy", "haematologic malignancies", "Hodgkin lymphoma", "non-Hodgkin lymphoma", "CAR T cells", "multiple myeloma", "solitary plasmocytoma", "intensity-modulated radiotherapy", "extracranial stereotactic body radiation therapy" and "proton therapy references".

RESULTS

Haemopathological malignancies include a wide range of diseases and radiation therapy indications have been assessed over the past 20years. Currently, radiation therapy is indicated for localized disease (solitary plasmocytoma), as an adjuvant (Hodgkin lymphoma), in palliative settings, or after systemic treatment in relapsed patients (chimeric antigen receptor [CAR] T-cells) with a low recurrence burden, which can therefore be considered "oligorecurrence". Radiation therapy, through total body irradiation, has important indications, thanks to its immunomodulatory and/or myeloablative effects. Moreover, recent technological developments have made possible significant improvement in safety, contributing to radiation therapy being positioned in the treatment strategy of several indications.

CONCLUSIONS

Given the effectiveness of systemic treatments in hematologic malignancies, the oligometastasis stage is of little importance. A curative intent after local radiation therapy, even advanced stage, is possible, both with residual disease for advanced Hodgkin lymphoma, aggressive non-Hodgkin lymphoma, or solitary plasmocytoma, and even without evidence of disease after chemotherapy for Hodgkin or non-Hodgkin lymphoma. The role of new treatments, such as CAR T cells, allows us to consider radiation therapy after systemic treatment of relapsed diseases with low volume recurrence, which can be considered oligorecurrence.

A Novel Design-Thinking, Hospital Innovation Core Certificate Curriculum for Radiologists and Trainees: Creation, Implementation, and Multiyear Results

RATIONALE AND OBJECTIVES

Innovation is a crucial skill for physicians and researchers, yet traditional medical education does not provide instruction or experience to cultivate an innovative mindset. This study evaluates the effectiveness of a novel course implemented in an academic radiology department training program over a 5-year period designed to educate future radiologists on the fundamentals of medical innovation.

MATERIALS AND METHODS

A pre- and post-course survey and examination were administered to residents who participated in the innovation course (MESH Core) from 2018 to 2022. Respondents were first evaluated on their subjective comfort level, understanding, and beliefs on innovation-related topics using a 5-point Likert-scale survey. Respondents were also administered a 21-question multiple-choice exam to test their objective knowledge of innovation-related topics.

RESULTS

Thirty-eight residents participated in the survey (response rate 95%). Resident understanding, comfort and belief regarding innovation-related topics improved significantly (P < .0001) on all nine Likert-scale questions after the course. After the course, a significant majority of residents either agreed or strongly agreed that technological innovation should be a core competency for the residency curriculum, and that a workshop to prototype their ideas would be beneficial. Performance on the course exam showed significant improvement (48% vs 86%, P < .0001). The overall course experience was rated 5 out of 5 by all participants.

CONCLUSION

MESH Core demonstrates long-term success in educating future radiologists on the basic concepts of medical technological innovation. Years later, residents used the knowledge and experience gained from MESH Core to successfully pursue their own inventions and innovative projects. This innovation model may serve as an approach for other institutions to implement training in this domain.

The translation teaching platform based on multilingual corpora of Xi Jinping: The Governance of China: Design, resources and applications

Over the last two decades, the domain of corpus-based translation studies has evolved into a significant paradigm, instrumental in probing a diverse array of scholarly inquiries. This article demonstrates the various uses of corpus analysis techniques that have gained popularity in translation studies, and it presents a new multilingual corpus. This corpus showcases the evolving nature of the field as it expands to accommodate new conceptual frameworks and methodologies. In addition to addressing the use of corpora in translating, learning, and analyzing translation within the context of multilingual corpora and machine translation, this article reports on a pilot project concerning the construction of an AI-based translation teaching platform. Utilizing multilingual corpora, the platform aims to create a foundation for extensive translation instruction and multilingual training at the tertiary level. Following a discussion on the evolution of corpus-based approaches in translation studies and their connection to the growth of translation education as a profession, the paper describes the actual design of the platform. This includes the theoretical framework, the methodology of annotation, and the execution of the software programme. These corpora are relevant not only to individuals studying translation but also to the related multilingual corpora, comprising collections of originals and their translations in the same language.

Moonshots and last miles: what it may take to treat infertility for all

Innovation in medically assisted reproduction (MAR) is at an all-time high, with new technologies being developed for the laboratory and around the patient experience, and deployed quickly and effectively. Nevertheless, substantial improvements in the success of infertility care seem to elude the field. This article presents the view that MAR is missing the key innovation motor of mechanistic knowledge, which historically relates to a lack of public resources of the kind afforded to other diseases. It is posited that unless and until we raise infertility at the level of an urgent unmet medical need in the eyes of government and national funding body, innovation will be limited in scope and impact, and be incremental in nature.

Evaluation status of current and emerging minimally invasive robotic surgical platforms

BACKGROUND

The rapid adoption of robotics within minimally invasive surgical specialties has also seen an explosion of new technology including multi- and single port, natural orifice transluminal endoscopic surgery (NOTES), endoluminal and "on-demand" platforms. This review aims to evaluate the validation status of current and emerging MIS robotic platforms, using the IDEAL Framework.

METHODS

A scoping review exploring robotic minimally invasive surgical devices, technology and systems in use or being developed was performed, including general surgery, gynaecology, urology and cardiothoracics. Systems operating purely outside the abdomen or thorax and endoluminal or natural orifice platforms were excluded. PubMed, Google Scholar, journal reports and information from the public domain were collected. Each company was approached via email for a virtual interview to discover more about the systems and to quality check data. The IDEAL Framework is an internationally accepted tool to evaluate novel surgical technology, consisting of four stages: idea, development/exploration, assessment, and surveillance. An IDEAL stage, synonymous with validation status in this review, was assigned by reviewing the published literature.

RESULTS

21 companies with 23 different robotic platforms were identified for data collection, 13 with national and/or international regulatory approval. Of the 17 multiport systems, 1 is fully evaluated at stage 4, 2 are stage 3, 6 stage 2b, 2 at stage 2a, 2 stage 1, and 4 at the pre-IDEAL stage 0. Of the 6 single-port systems none have been fully evaluated with 1 at stage 3, 3 at stage 1 and 2 at stage 0.

CONCLUSIONS

The majority of existing robotic platforms are currently at the preclinical to developmental and exploratory stage of evaluation. Using the IDEAL framework will ensure that emerging robotic platforms are fully evaluated with long-term data, to inform the surgical workforce and ensure patient safety.

Blazing the trail for innovative tuberculosis diagnostics

The COVID-19 pandemic brought diagnostics into the spotlight in an unprecedented way not only for case management but also for population health, surveillance, and monitoring. The industry saw notable levels of investment and accelerated research which sparked a wave of innovation. Simple non-invasive sampling methods such as nasal swabs have become widely used in settings ranging from tertiary hospitals to the community. Self-testing has also been adopted as standard practice using not only conventional lateral flow tests but novel and affordable point-of-care molecular diagnostics. The use of new technologies, including artificial intelligence-based diagnostics, have rapidly expanded in the clinical setting. The capacity for next-generation sequencing and acceptance of digital health has significantly increased. However, 4 years after the pandemic started, the market for SARS-CoV-2 tests is saturated, and developers may benefit from leveraging their innovations for other diseases; tuberculosis (TB) is a worthwhile portfolio expansion for diagnostics developers given the extremely high disease burden, supportive environment from not-for-profit initiatives and governments, and the urgent need to overcome the long-standing dearth of innovation in the TB diagnostics field. In exchange, the current challenges in TB detection may be resolved by adopting enhanced swab-based molecular methods, instrument-based, higher sensitivity antigen detection technologies, and/or artificial intelligence-based digital health technologies developed for COVID-19. The aim of this article is to review how such innovative approaches for COVID-19 diagnosis can be applied to TB to have a comparable impact.

RadDiscord's Big Bang: Perspectives and Impact of Creation of a Successful Radiology Education Community

The COVID-19 pandemic brought unprecedented challenges in radiology education. RadDiscord, a digital, open-access radiology educational platform now with over 4100 members internationally, emerged as a COVID-era innovation that has transformed radiology education, broken down institutional silos, and equalized access to high-quality education. This special report will discuss the origin of RadDiscord, overcoming early barriers, building an organization and community, innovation and impact, and the future of radiological education. This may offer helpful perspectives to trainees and educators who are interested in innovating in the realm of radiology education.

Innovation and disruptive science determine the future of cardiothoracic surgery

One of the currently most asked questions in the field of medicine is how any specialty in the future will evolve to ensure better health for the patients by using current, unparalleled developments in all areas of science. This article will give an overview of new and evolving strategies for cardiothoracic (CT) surgery that are available today and will become available in the future in order to achieve this goal. In the founding era of CT surgery in the 1950s and 1960s, there was tremendous excitement about innovation and disruptive science, which eventually resulted in a completely new medical specialty, i.e. CT surgery. Entirely new treatment strategies were introduced for many cardiovascular diseases that had been considered incurable until then. As expected, alternative techniques have evolved in all fields of science during the last few decades, allowing great improvements in diagnostics and treatment in all medical specialties. The future of CT surgery will be determined by an unrestricted and unconditional investment in innovation, disruptive science and our own transformation using current achievements from many other fields. From the multitude of current and future possibilities, I will highlight 4 in this review: improvements in our current techniques, bringing CT surgery to low- and middle-income countries, revolutionizing the perioperative period and treating as yet untreatable diseases. These developments will allow us a continuation of the previously unheard-of treatment possibilities provided by ingenious innovations based on the fundamentals of CT surgery.

Defining digital surgery: a SAGES white paper

BACKGROUND

Digital surgery is a new paradigm within the surgical innovation space that is rapidly advancing and encompasses multiple areas.

METHODS

This white paper from the SAGES Digital Surgery Working Group outlines the scope of digital surgery, defines key terms, and analyzes the challenges and opportunities surrounding this disruptive technology.

RESULTS

In its simplest form, digital surgery inserts a computer interface between surgeon and patient. We divide the digital surgery space into the following elements: advanced visualization, enhanced instrumentation, data capture, data analytics with artificial intelligence/machine learning, connectivity via telepresence, and robotic surgical platforms. We will define each area, describe specific terminology, review current advances as well as discuss limitations and opportunities for future growth.

CONCLUSION

Digital Surgery will continue to evolve and has great potential to bring value to all levels of the healthcare system. The surgical community has an essential role in understanding, developing, and guiding this emerging field.

Advancing the care of individuals with cancer through innovation & technology: Proceedings from the cardiology oncology innovation summit 2020 and 2021

As cancer therapies increase in effectiveness and patients' life expectancies improve, balancing oncologic efficacy while reducing acute and long-term cardiovascular toxicities has become of paramount importance. To address this pressing need, the Cardiology Oncology Innovation Network (COIN) was formed to bring together domain experts with the overarching goal of collaboratively investigating, applying, and educating widely on various forms of innovation to improve the quality of life and cardiovascular healthcare of patients undergoing and surviving cancer therapies. The COIN mission pillars of innovation, collaboration, and education have been implemented with cross-collaboration among academic institutions, private and public establishments, and industry and technology companies. In this report, we summarize proceedings from the first two annual COIN summits (inaugural in 2020 and subsequent in 2021) including educational sessions on technological innovations for establishing best practices and aligning resources. Herein, we highlight emerging areas for innovation and defining unmet needs to further improve the outcome for cancer patients and survivors of all ages. Additionally, we provide actionable suggestions for advancing innovation, collaboration, and education in cardio-oncology in the digital era.

Exploring Elinor Ostrom's principles for collaborative group working within a user-led project: lessons from a collaboration between researchers and a user-led organisation

BACKGROUND

Some research has been undertaken into the mechanisms that shape successful participatory approaches in the context of efforts to improve health and social care. However, greater attention needs to be directed to how partnerships between researchers and user-led organisations (ULOs) might best be formed, practiced, managed, and assessed. We explored whether political economist Elinor Ostrom's Nobel prize winning analysis of common pool resource management-specifically eight principles to enhance collaborative group working as derived from her empirical research-could be usefully applied within a user-led project aiming to co-design new services to support more inclusive involvement of Disabled people in decision-making processes in policy and practice.

METHODS

Participant observation and participatory methods over a 16-month period comprising observational notes of online user-led meetings (26 h), online study team meetings (20 h), online Joint Interpretive Forum meetings (8 h), and semi-structured one-to-one interviews with project participants (44 h) at two time points (months 6 and 10).

RESULTS

Initially it proved difficult to establish working practices informed by Ostrom's principles for collaborative group working within the user-led project. Several attempts were made to put a structure in place that met the needs of both the research study and the aims of the user-led project, but this was not straightforward. An important shift saw a move away from directly applying the principles to the working practices of the group and instead applying them to specific tasks the group were undertaking. This was a helpful realisation which enabled the principles to become-for most but not all participants-a useful facilitation device in the latter stages of the project. Eventually we applied the principles in a way that was useful and enabled collaboration between researchers and a ULO (albeit in unexpected ways).

CONCLUSIONS

Our joint reflections emphasise the importance of being reflexive and responsive when seeking to apply theories of collaboration (the principles) within user-led work. At an early stage, it is important to agree shared definitions and understanding of what 'user-led' means in practice. It is crucial to actively adapt and translate the principles in ways that make them more accessible and applicable within groups where prior knowledge of their origins is both unlikely and unnecessary.

Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging

PURPOSE

Virtual reality (VR) allows for an immersive and interactive analysis of imaging data such as computed tomography (CT) and magnetic resonance imaging (MRI). The aim of this study is to assess the comprehensibility of VR anatomy and its value in assessing resectability of pancreatic ductal adenocarcinoma (PDAC).

METHODS

This study assesses exposure to VR anatomy and evaluates the potential role of VR in assessing resectability of PDAC. Firstly, volumetric abdominal CT and MRI data were displayed in an immersive VR environment. Volunteering physicians were asked to identify anatomical landmarks in VR. In the second stage, experienced clinicians were asked to identify vascular involvement in a total of 12 CT and MRI scans displaying PDAC (2 resectable, 2 borderline resectable, and 2 locally advanced tumours per modality). Results were compared to 2D standard PACS viewing.

RESULTS

In VR visualisation of CT and MRI, the abdominal anatomical landmarks were recognised by all participants except the pancreas (30/34) in VR CT and the splenic (31/34) and common hepatic artery (18/34) in VR MRI, respectively. In VR CT, resectable, borderline resectable, and locally advanced PDAC were correctly identified in 22/24, 20/24 and 19/24 scans, respectively. Whereas, in VR MRI, resectable, borderline resectable, and locally advanced PDAC were correctly identified in 19/24, 19/24 and 21/24 scans, respectively. Interobserver agreement as measured by Fleiss κ was 0.7 for CT and 0.4 for MRI, respectively (p < 0.001). Scans were significantly assessed more accurately in VR CT than standard 2D PACS CT, with a median of 5.5 (IQR 4.75-6) and a median of 3 (IQR 2-3) correctly assessed out of 6 scans (p < 0.001).

CONCLUSION

VR enhanced visualisation of abdominal CT and MRI scan data provides intuitive handling and understanding of anatomy and might allow for more accurate staging of PDAC and could thus become a valuable adjunct in PDAC resectability assessment in the future.

Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion

Randomized controlled trials (RCTs) have traditionally been considered the gold standard for medical evidence. However, in light of emerging methodologies in data science, many experts question the role of RCTs. Within this context, experts in the USA and Canada came together to debate whether the primacy of RCTs as the gold standard for medical evidence, still holds in light of recent methodological advances in data science and in the era of big data. The purpose of this manuscript, aims to raise awareness of the pros and cons of RCTs and observational studies in order to help guide clinicians, researchers, students, and decision-makers in making informed decisions on the quality of medical evidence to support their work. In particular, new and underappreciated advantages and disadvantages of both designs are contrasted. Innovations taking place in both of these research methodologies, which can blur the lines between the two, are also discussed. Finally, practical guidance for clinicians and future directions in assessing the quality of evidence is offered.

Advancements in robotic surgery: innovations, challenges and future prospects

The use of robots has revolutionized healthcare, wherein further innovations have led to improved precision and accuracy. Conceived in the late 1960s, robot-assisted surgeries have evolved to become an integral part of various surgical specialties. Modern robotic surgical systems are equipped with highly dexterous arms and miniaturized instruments that reduce tremors and enable delicate maneuvers. Implementation of advanced materials and designs along with the integration of imaging and visualization technologies have enhanced surgical accuracy and made robots safer and more adaptable to various procedures. Further, the haptic feedback system allows surgeons to determine the consistency of the tissues they are operating upon, without physical contact, thereby preventing injuries due to the application of excess force. With the implementation of teleoperation, surgeons can now overcome geographical limitations and provide specialized healthcare remotely. The use of artificial intelligence (AI) and machine learning (ML) aids in surgical decision-making by improving the recognition of minute and complex anatomical structures. All these advancements have led to faster recovery and fewer complications in patients. However, the substantial cost of robotic systems, their maintenance, the size of the systems and proper surgeon training pose major challenges. Nevertheless, with future advancements such as AI-driven automation, nanorobots, microscopic incision surgeries, semi-automated telerobotic systems, and the impact of 5G connectivity on remote surgery, the growth curve of robotic surgery points to innovation and stands as a testament to the persistent pursuit of progress in healthcare.