Will technology drive orthopaedic surgery in the future?

The crucial role and challenges of medical journal editors in the modern era

There is an evolving role of medical journal editors in the 21st century, highlighting the challenges they face in ensuring the quality, accuracy, and relevance of published research. As gatekeepers of medical information, editors are inundated with a high volume of submissions, necessitating efficient triage and a keen understanding of diverse scientific fields. The peer review process presents its hurdles, particularly in securing timely assessments from busy experts, while ethical considerations around bias and misconduct demand rigorous scrutiny. Additionally, the emergence of artificial intelligence in research poses both opportunities and complications, calling for clear guidelines to maintain the value of human authorship. Overall, the findings emphasize the critical role of editors in sustaining the integrity of medical publishing amidst an increasingly complex landscape.

Effectiveness of AI-powered Chatbots in responding to orthopaedic postgraduate exam questions-an observational study

PURPOSE

This study analyses the performance and proficiency of the three Artificial Intelligence (AI) generative chatbots (ChatGPT-3.5, ChatGPT-4.0, Bard Google AI®) and in answering the Multiple Choice Questions (MCQs) of postgraduate (PG) level orthopaedic qualifying examinations.

METHODS

A series of 120 mock Single Best Answer' (SBA) MCQs with four possible options named A, B, C and D as answers on various musculoskeletal (MSK) conditions covering Trauma and Orthopaedic curricula were compiled. A standardised text prompt was used to generate and feed ChatGPT (both 3.5 and 4.0 versions) and Google Bard programs, which were then statistically analysed.

RESULTS

Significant differences were found between responses from Chat GPT 3.5 with Chat GPT 4.0 (Chi square = 27.2, P < 0.001) and on comparing both Chat GPT 3.5 (Chi square = 63.852, P < 0.001) with Chat GPT 4.0 (Chi square = 44.246, P < 0.001) with. Bard Google AI® had 100% efficiency and was significantly more efficient than both Chat GPT 3.5 with Chat GPT 4.0 (p < 0.0001).

CONCLUSION

The results demonstrate the variable potential of the different AI generative chatbots (Chat GPT 3.5, Chat GPT 4.0 and Bard Google) in their ability to answer the MCQ of PG-level orthopaedic qualifying examinations. Bard Google AI® has shown superior performance than both ChatGPT versions, underlining the potential of such large language processing models in processing and applying orthopaedic subspecialty knowledge at a PG level.

Artificial intelligence-based orthopaedic perpetual design

Background and aims

Integrating Artificial Intelligence (AI) methodologies in orthopaedic surgeries is becoming increasingly important as it optimises implant designs and treatment procedures. This research article introduces an innovative approach using an AI-driven algorithm, focusing on the humerus bone anatomy. The primary focus of this work is to determine implant dimensions tailored to individual patients.

Methodology

We have utilised Python's DICOM library, which extracts rich information from medical images obtained through CT and MRI scans. The algorithm generates precise three-dimensional reconstructions of the bone, enabling a comprehensive understanding of its morphology.

Results

Using algorithms that reconstructed 3D bone models to propose optimal implant geometries that adhere to patients' unique anatomical intricacies and cater to their functional requirements. Integrating AI techniques promotes enhanced implant designs that facilitate enhanced integration with the host bone, promoting improved patient outcomes.

Conclusion

A notable breakthrough in this research is the ability of the algorithm to predict implant physical dimensions based on CT and MRI data. The algorithm can infer implant specifications that align with patient-specific bone characteristics by training the AI model on a diverse dataset. This approach could revolutionise orthopaedic surgery, reducing patient waiting times and the duration of medical interventions.

Use of Social Media in Orthopaedic Surgery Training and Practice: A Systematic Review

Background

Social media use has grown across healthcare delivery and practice, with dramatic changes occurring in response to the coronavirus (COVID-19) pandemic. The purpose of this study was to conduct a comprehensive systematic review to determine the current landscape of social media use by (1) orthopaedic surgery residencies/fellowship training programs and (2) individual orthopaedic surgeons and the change in use over time.

Methods

We searched 3 electronic databases (PubMed, MEDLINE, and Embase) from their inception to April 2022 for all studies that analyzed the use of social media in orthopaedic surgery. Two reviewers independently determined study eligibility, rated study quality, and extracted data. Methodology was in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Results

Twenty-eight studies were included, of which 11 analyzed social media use by orthopaedic surgery residency and fellowship training programs and 17 examined its use by individual orthopaedic surgeons. Among residency and fellowship programs, Instagram was identified as the most common platform used, with 42% to 88% of programs reporting program-specific Instagram accounts, followed by Twitter/X (20%-52%) and Facebook (10%-38%). Social media was most commonly used by programs for recruitment and information dissemination to prospective residency applicants (82% and 73% of included studies, respectively). After the start of the COVID-19 pandemic, there was a 620% and 177% increase in the number of training programs with Instagram and Twitter/X accounts, respectively. Individual use of social media ranged from 1.7% to 76% (Twitter/X), 10% to 73% (Facebook), 0% to 61% (Instagram), 22% to 61% (LinkedIn), and 6.5% to 56% (YouTube).

Conclusions

Instagram, Twitter/X, and Facebook are the premier platforms that patients, residency applicants, and institutions frequent. With the continued growth of social media use anticipated, it will be critical for institutions and individuals to create and abide by guidelines outlining respectful and professional integration of social media into practice.

Level of Evidence

Level IV.

Perception of Chat Generative Pre-trained Transformer (Chat-GPT) AI tool amongst MSK clinicians

Background

Chat Generative Pre-trained Transformer (ChatGPT); an open access artificial intelligence (AI) tool has been in the limelight with its ability to respond to prompts, analyse data information using algorithms to augment efficiency in day-to-day activities across a spectrum of human activities including MSK/Orthopaedic science.

Purpose of the study

The purpose of this cross-sectional survey has been to analyse the knowledge, understanding of the role of Chat Generative Pre-trained Transformer (ChatGPT) and its implications in clinical practice as well as research in medicine.

Material & methods

An online cross-sectional survey of 10 questions (multiple choice and free text) was circulated amongst orthopaedic surgeons, musculoskeletal radiologists and Rheumatologists in India and UK, to evaluate perception of Chat Generative Pre-trained Transformer (ChatGPT) AI Tool.

Results

We had 125 responses with majority being aware of ChatGPT though a minority had used it. There was consensus that its going have detrimental effect on workforce with majority of the opinion that they would be used to create radiology reports. Mixed responses were noted regarding the quality of research and role of ChatGPT being an anonymous author.

Conclusion

There is a considerable debate amongst clinicians of orthopaedic, radiology and rheumatology -specialities. The attitudes are mixed but mainly positive, although there are many concerns about the still-evolving new technology.

Level of study

Diagnostic Study level 4.

Challenges of Integrating New Technologies for Orthopedic Doctors to Face up to Difficulties during the Pandemic Era

In the field of orthopedics, competitive progress is growing faster because new technologies used to facilitate the work of physicians are continuously developing. Based on the issues generated in the pandemic era in this field, a research study was developed to identify the intention of orthopedic doctors to integrate new medical technologies. The survey was based on a questionnaire that was used for data collection. The quantitative study registered a sample of 145 orthopedic doctors. The data analysis was performed based on the IBM SPSS program. A multiple linear regression model was applied, which analyzed how the independent variables can influence the dependent variables. After analyzing the data, it was observed that the intention of orthopedic doctors to use new medical technologies is influenced by the advantages and disadvantages perceived by them, the perceived risks, the quality of the medical technologies, the experience of physicians in their use, and their receptivity to other digital tools. The obtained results are highly important both for hospital managers and authorities, illustrating the main factors that influence doctors to use emergent technologies in their clinical work.

Scientometric analysis of Indian Orthopaedic Research in the last two decades

PURPOSE

This study aimed to examine India's orthopaedic research output during 2002-2021 to analyze the research characteristics and publication performances of leading organizations, authors, and cities, the core journals publishing research, broad subject areas, sub-specialties, and the classification by anatomical location, the subject areas of research using major keywords and the sources of funding and the extent of international collaboration.

METHODS

India's orthopaedic publications data was identified and downloaded from the Scopus database ( https://www.scopus.com ) using a well-defined search strategy and keywords.

RESULTS

India's 4606 publications grew at a 20.8% annual growth rate and averaged 11.3 citations per paper. The 10.4% and 16.3% share of India's papers received external funded support and were involved in international collaboration. The USA and UK (31.8% and 21.3%) represent the highest collaborative share in India's international collaborative publications. AIIMS-New Delhi and PGIMER-Chandigarh produced a larger proportion of articles (5.2% and 4.3%) among contributing organizations. In terms of authors, R. Vaishya and S. Rajasekaran are the most productive ones, contributing 1.6% and 1.1% share respectively. Clinical studies, paediatric sub-specialty, and knee & leg anatomical location accounted for the largest share of papers (32.2%, 10.8%, and 7.5%).The most frequent keywords co-occurrences were "Orthopaedic Surgery," "Hydroxyapatite," "Biocompatibility," "Orthopaedic Procedures," "Bone," "Surgical Techniques," "Biomaterials," and "Osteosynthesis."

CONCLUSION

This study revealed the characteristics and trends of research and core publications from Indian authors and organizations identified in the last two decades. This research should provide useful insights into the research hotspots of India in the present, past, and future.

Technology and orthopaedic surgeons

Modern and innovative technologies are rapidly penetrating the clinical practices of Orthopaedic Surgeons. The ones that have proved successful for clinical use are Additive Manufacturing/3D printing, Artificial Intelligence, Robotics, Smart sensors, and Orthobiologics. Industry 5.0 revolution has helped provide personalised treatment by integrating machines and human beings. In this special issue, we present a collection of excellent articles on these technologies.