Large language model influence on diagnostic reasoning: a randomized clinical trial

E Goh, R Gallo, J Hom, E Strong, Y Weng… - JAMA Network …, 2024 - jamanetwork.com
Importance Large language models (LLMs) have shown promise in their performance on
both multiple-choice and open-ended medical reasoning examinations, but it remains …

[HTML][HTML] Conversational AI models for ophthalmic diagnosis: comparison of ChatGPT and the Isabel Pro differential diagnosis generator

M Balas, EB Ing - JFO Open Ophthalmology, 2023 - Elsevier
Background With the rapidly growing field of conversational artificial intelligence (AI), it is
becoming increasingly likely that these technologies will revolutionize the way physicians …

Data integration challenges for machine learning in precision medicine

M Martínez-García, E Hernández-Lemus - Frontiers in medicine, 2022 - frontiersin.org
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …

Diagnostic reasoning in cardiovascular medicine

JE Brush, J Sherbino, GR Norman - bmj, 2022 - bmj.com
Research in cognitive psychology shows that expert clinicians make a medical diagnosis
through a two step process of hypothesis generation and hypothesis testing. Experts …

[HTML][HTML] The accuracy and potential racial and ethnic biases of GPT-4 in the diagnosis and triage of health conditions: evaluation study

N Ito, S Kadomatsu, M Fujisawa… - JMIR Medical …, 2023 - mededu.jmir.org
Background Whether GPT-4, the conversational artificial intelligence, can accurately
diagnose and triage health conditions and whether it presents racial and ethnic biases in its …

Emergency department volume and delayed diagnosis of serious pediatric conditions

KA Michelson, CA Rees, TA Florin, RG Bachur - JAMA pediatrics, 2024 - jamanetwork.com
Importance Diagnostic delays are common in the emergency department (ED) and may
predispose to worse outcomes. Objective To evaluate the association of annual pediatric …

Reaching 95%: decision support tools are the surest way to improve diagnosis now

ML Graber - BMJ Quality & Safety, 2022 - qualitysafety.bmj.com
Rory Staunton, a 12 year-old boy, presented with fever, vomiting and mottled skin. Was this
gastroenteritis? Thomas Duncan's symptoms were headache, dizziness, nausea, abdominal …

[HTML][HTML] Incidence of diagnostic errors among unexpectedly hospitalized patients using an automated medical history–taking system with a differential diagnosis …

R Kawamura, Y Harada, S Sugimoto… - JMIR Medical …, 2022 - medinform.jmir.org
Background: Automated medical history–taking systems that generate differential diagnosis
lists have been suggested to contribute to improved diagnostic accuracy. However, the effect …

[HTML][HTML] Comparative study to evaluate the accuracy of differential diagnosis lists generated by gemini advanced, gemini, and bard for a case report series analysis …

T Hirosawa, Y Harada, K Tokumasu, T Ito… - JMIR Medical …, 2024 - medinform.jmir.org
Background Generative artificial intelligence (GAI) systems by Google have recently been
updated from Bard to Gemini and Gemini Advanced as of December 2023. Gemini is a …

[HTML][HTML] Clinical Decision Support Requirements for Ventricular Tachycardia Diagnosis Within the Frameworks of Knowledge and Practice: Survey Study

Z Hu, M Wang, S Zheng, X Xu, Z Zhang… - JMIR Human …, 2024 - humanfactors.jmir.org
Background Ventricular tachycardia (VT) diagnosis is challenging due to the similarity
between VT and some forms of supraventricular tachycardia, complexity of clinical …