Integration of tablet technologies in the e-laboratory of cytology: a health technology assessment

Artificial Intelligence in Digital Pathology: What Is the Future? Part 2: An Investigation on the Insiders

Motivation: This study deals with the introduction of artificial intelligence (AI) in digital pathology (DP). The study starts from the highlights of a companion paper. Objective: The aim was to investigate the consensus and acceptance of the insiders on this issue. Procedure: An electronic survey based on the standardized package Microsoft Forms (Microsoft, Redmond, WA, USA) was proposed to a sample of biomedical laboratory technicians (149 admitted in the study, 76 males, 73 females, mean age 44.2 years). Results: The survey showed no criticality. It highlighted (a) the good perception of the basic training on both groups, and (b) a uniformly low perceived knowledge of AI (as arisen from the graded questions). Expectations, perceived general impact, perceived changes in the work-flow, and worries clearly emerged in the study. Conclusions: The of AI in DP is an unstoppable process, as well as the increase of the digitalization in the health domain. Stakeholders must not look with suspicion towards AI, which can represent an important resource, but should invest in monitoring and consensus training initiatives based also on electronic surveys.

Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards

This commentary aims to address the field of Artificial intelligence (AI) in Digital Pathology (DP) both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions of digital pathology with particular care to the two fields of the digital cytology and the digital histology. Second, it illustrates the main fields in the employment of AI in DP. Third, it looks at the future directions of the research challenges from both a clinical and technological point of view. Fourth, it discusses the transversal problems among these challenges and implications and introduces the immediate work to implement.

WhatsApp in mHealth: design and evaluation of an mHealth tool to share dynamic images in hemodynamics

BACKGROUND

WhatsApp, like many other messaging Apps, enables messages, documents, and multimedia elements to be exchanged through a chat-based tool. Among the many potentialities of WhatsApp are: (I) the possibility to create groups (WhatsApp Groups) and (II) the possibility to install the app on a personal computer using the WhatsApp Web application.

METHODS

The two functionalities (I, II) were used to set-up an mHealth environment for teleconsultation in telecardiology which will support the exchange of the dynamic images in hemodynamics. A proper client/server architecture was proposed to supply the mHealth environment. The files related to the dynamic study were preliminarily converted [using picture archiving and communication system (PACS) functions] into an audio-video interleave (AVI) format, which is compatible with mobile technology.

RESULTS

The mHealth environment was configured. Five dynamic images were extracted from the PACS in the format AVI. The images were exchanged using WhatsApp Web on the server side and WhatsApp on the client side (smartphones). An acceptance analysis of five observers showed high satisfaction with the methodology.

CONCLUSIONS

From a global perspective, our contribution aligns with those of scholars in the field concerning the use of WhatsApp in medical imaging. Furthermore, this study suggests that research in the telecardiology field can be strengthened through the use of dynamic images and WhatsApp.

A smartphone-based survey in mHealth to investigate the introduction of the artificial intelligence into cardiology

BACKGROUND

There is an increasing discussion concerning the integration of artificial intelligence (AI) into medical decision-making. AI science is a branch of engineering that implements novel concepts to resolve complex challenges and defined as the theory and development of computer systems to perform tasks which would normally require human intelligence. AI could aid cardiologists in improving decision-making, workflow, productivity, cost-effectiveness, and ultimately, patient outcomes. The present study proposes a tool for a positioning exercise in cardiology using mobile technology.

METHODS

This study is based on a dedicated tool with electronic surveys that collect the opinions, requirements, and desires of the interested actors including both laypeople and professionals.

RESULTS

The tool was tested on 30 cardiologists and 30 subjects not involved in health care. The data-analysis revealed several clear trends on the cardiologists: (I) a high desire to invest in AI; (II) high confidence in the use of AI in several fields of cardiology from risk prevention to diagnostics in medical imaging; (III) low confidence in the use of AI in quality control procedures; (IV) a strong belief that ethical issues are hampering the diffusion of AI to different fields. The data-analysis on the 30 subjects not involved in health care highlighted that AI is still not well known and therefore looked with suspicious.

CONCLUSIONS

The integration of AI with telemedicine and e-health is a key issue for the health care. The study highlights how the mobile technology-based positioning exercises in mHealth can be useful for health care decision makers.

WhatsApp in mHealth: an overview on the potentialities and the opportunities in medical imaging

WhatsApp as many other Messaging Apps or "Messengers" enables messaging and exchanging documents and/or multimedia element (images, movies, music) through chat like tools; these last characteristics makes WhatsApp useful for the remote-image exchanging in mHealth for teleconsulting. Among the other potentialities of this App there are (I) the possibility to create groups, the so called WhatsApp Groups and (II) the possibility of this App to be installed into a platform based on a personal computer through the version for pc named WhatsApp Web; these potentialities allow both the creation of protected groups for cooperative teleconsulting and the creation of client-server architectures in telemedicine and e-Health. Scholars have recently shown the usefulness of WhatsApp in several mHealth applications. Recent important studies are highlighting, for example, the wide-range opportunities of WhatsApp as an adjunctive tool in mHealth in medical imaging or in specific applications such as in oral medicine in orthopedics and tele-education. In this contribution we share our alignment with these scholars and presents our polarities of research in the use of WhatsApp. These polarities range from the institutional surveillance of the spontaneous phenomena of WhatsApp groups in the families for the monitoring of the fragile patient up to the test of use of WhatsApp in digital-pathology and digital-radiology static imaging and recently in cardiologic dynamic imaging.

HEALTH TECHNOLOGY ASSESSMENT EVIDENCE ON E-HEALTH/M-HEALTH TECHNOLOGIES: EVALUATING THE TRANSPARENCY AND THOROUGHNESS

OBJECTIVES

Evaluation is crucial for integration of e-Health/m-Health into healthcare systems and health technology assessment (HTA) could offer sound methodological basis for these evaluations. Aim of this study was to look for HTA reports on e-Health/m-Health technologies and to analyze their transparency, consistency and thoroughness, with the goal to detect areas that need improvement.

METHODS

PubMed, ISI-WOS, and University of York - Centre for Reviews and Dissemination-electronic databases were searched to identify reports on e-Health/m-Health technologies, published up until April 1, 2016. The International Network of Agencies for Health Technology Assessment (INAHTA) checklist was used to evaluate transparency and consistency of included reports. Thoroughness was assessed by checking the presence of domains suggested by the European network for Health Technology Assessment (EUnetHTA) HTA Core Model.

RESULTS

Twenty-eight reports published between 1999 and 2015 were included. Most were delivered by non-European countries (71.4 percent) and only 35.7 percent were classified as full reports. All the HTA reports defined the scope of research whereas more than 80 percent provided author details, summary, discussed findings, and conclusion. On the contrary, policy and research questions were clearly defined in around 30 percent and 50 percent of reports. With respect to the EUnetHTA Core Model, around 70 percent of reports dealt with effectiveness and economic evaluation, more than 50 percent described health problem and approximately 40 percent organizational and social aspects.

CONCLUSIONS

E-Health/m-Health technologies are increasingly present in the field of HTA. Yet, our review identified several missing elements. Most of the reports failed to respond to relevant assessment components, especially ethical, social and organizational implications.