29 March
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In a recent interview posted on JMIR TV, JMIR Publications’ CEO Dr Gunther Eysenbach speaks with Dr Andrew Taylor from Yale University School of Medicine about their paper titled “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment,” published in JMIR Medical Education.  The study examined how ChatGPT performed on the United States Medical Licensing Examination (USMLE) compared to other AI language models such as InstructGPT and GPT-3. The researchers found that ChatGPT’s performance on the exam was comparable to that of a third-year medical student in terms of medical knowledgeRead More →

28 March
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JMIR Publications published “Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study” in the Journal of Medical Internet Research, which reported that it may be possible to diagnose influenza infection by applying deep learning to pharyngeal images given that influenza primarily infects the upper respiratory system. These authors aimed to develop a deep learning model to diagnose influenza infection using pharyngeal images and clinical information. They recruited patients who visited clinics and hospitals because of influenza-like symptoms. In the training stage, the authors developed a diagnostic prediction artificial intelligence (AI) model based on deep learning to predict polymerase chainRead More →

21 March
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Australian researchers have established a set of protocols for a research project in JMIR Research Protocols  that aims to explore whether humans will continue in meaningful decision-making roles in an AI-driven future. The researchers, Dr Nandini Doreswamy and Dr Louise Horstmanshof from Southern Cross University, found that there is a dearth of guidance in establishing whole sets of protocols for methods used in complex health research. They have now established protocols that focus on non-clinical health services such as health regulation and health policy. These health services can be complex, the researchers say, and even more extensive in their scope and scale than clinical healthcare.Read More →

17 March
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Source: Pexels Copyright: Ivan Samkov URL: https://www.pexels.com/photo/boy-and-woman-sitting-on-sofa-with-laptop-4624913/ License: Licensed by JMIR Industry-first research demonstrates the critical and immediate need to expand digital care access to address the mental health crisis among youths SAN MATEO, Calif., March 14, 2023—Brightline, the leader in digital behavioral health care for children and families, today announced the first peer-reviewed research demonstrating the effectiveness of web-based behavioral health offerings in improving clinical outcomes in children, teens, and their caregivers. Published in JMIR Formative Research, the study highlights how a scalable digital solution can address the worsening mental health crisis among youths by improving much-needed access to behavioral health care for families.Read More →

16 March
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User engagement is essential for the success of eHealth apps, yet effective engagement remains a persistent challenge. A new approach to addressing this problem has been proposed in November 2022 in a viewpoint published by JMIR Publications in the Interactive Journal of Medical Internet Research. In their publication titled “A New Approach to Enhancing Engagement in eHealth Apps,” Dr Oakley-Girvan and Dr Docherty from Medable Inc. propose a three-phase conceptual model to optimize user (patient) engagement with eHealth apps and comment on how the knowledge gleaned from psychosocial, behavioral, and cognitive science can be incorporated into this model to enhance user engagement. According to theRead More →

16 March
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A new paper published in the Journal of Medical Internet Research describes how generative models such as DALL-E 2, a novel deep learning model for text-to-image generation, could represent a promising future tool for image generation, augmentation, and manipulation in health care. Do generative models have sufficient medical domain knowledge to provide accurate and useful results? Dr Lisa C Adams and colleagues explore this topic in their latest viewpoint titled “What Does DALL-E 2 Know About Radiology?”  First introduced by OpenAI in April 2022, DALL-E 2 is an artificial intelligence (AI) tool that has gained popularity for generating novel photorealistic images or artwork based onRead More →

13 March
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JMIR Publications published “Valuing Diversity and Inclusion in Health Care to Equip the Workforce: Survey Study and Pathway Analysis” in JMIR Formative Research. The aim of the study is to explore the characteristics of US health systems and their associations with diversity and inclusion (D&I) practices and benefits, examine the associations between D&I practices and three pathways (improve, recruit, and collaborate) to equip workforces, and examine the associations between the three pathways to better equip workforces and business and service benefits. The authors collected secondary data from the Agency for Healthcare Research and Quality Compendium of the US Health Systems, leading to a matched dataRead More →

07 March
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JMIR Publications published “User-Chatbot Conversations During the COVID-19 Pandemic: A Study Based on Topic Modeling and Sentiment Analysis” in the Journal of Medical Internet Research, which mentions that chatbots became a promising tool to support public health initiatives during the COVID-19 pandemic. This study examined the COVID-19 pandemic–related topics online users discussed with a commercially available chatbot and compared the sentiment expressed by users from five culturally different countries. From the analysis, the authors extracted 18 topics, which were categorized into five themes: Questions asked to the chatbot, Preventive behaviors, Outbreak of COVID-19, Physical and psychological impact of COVID-19, and People and life in theRead More →

03 March
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A study published on February 8, 2023, in JMIR Medical Education, a leading open access journal on digital medical education, evaluated the potential of ChatGPT, a natural language processing model, as a medical education tool. The study found that ChatGPT reaches the equivalent of a passing score for a third-year medical student. Conducted by researchers from Yale University School of Medicine’s Section for Biomedical Informatics and Data Science and University College Dublin, the study aimed to test the performance of ChatGPT and previous-generation large language models on the medical question-answering problem as part of the United States Medical Licensing Examination (USMLE) Step 1 and StepRead More →