[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 …

Effect on diagnostic accuracy of cognitive reasoning tools for the workplace setting: systematic review and meta-analysis

J Staal, J Hooftman, STG Gunput… - BMJ Quality & …, 2022 - qualitysafety.bmj.com
Background Preventable diagnostic errors are a large burden on healthcare. Cognitive
reasoning tools, that is, tools that aim to improve clinical reasoning, are commonly …

Evaluation of large language models as a diagnostic aid for complex medical cases

A Ríos-Hoyo, NL Shan, A Li, AT Pearson… - Frontiers in …, 2024 - frontiersin.org
Background The use of large language models (LLM) has recently gained popularity in
diverse areas, including answering questions posted by patients as well as medical …

Geographic influence upon noninfectious diseases accounting for fever of unknown origin: a systematic review and meta-analysis

WF Wright, G Yenokyan… - Open Forum Infectious …, 2022 - academic.oup.com
Background Diagnostic outcomes for fever of unknown origin (FUO) remain with notable
numbers of undiagnosed cases. A recent systemic review and meta-analysis of studies …

Deliberate reflection and clinical reasoning: Founding ideas and empirical findings

S Mamede, HG Schmidt - Medical Education, 2023 - Wiley Online Library
Context The idea that reflection improves reasoning and learning, since long present in
other fields, emerged in the 90s in the medical education literature. Since then, the number …

Mitigating cognitive bias with clinical decision support systems: An experimental study

A Küper, G Lodde, E Livingstone… - Journal of Decision …, 2024 - Taylor & Francis
Bias in clinical reasoning has been identified as one of the main sources of diagnostic
errors. Clinical Decision Support Systems that suggest possible diagnoses and provide …

[HTML][HTML] Effects of combinational use of additional differential diagnostic generators on the diagnostic accuracy of the differential diagnosis list developed by an …

Y Harada, S Tomiyama, T Sakamoto… - JMIR Formative …, 2023 - formative.jmir.org
Background Low diagnostic accuracy is a major concern in automated medical history–
taking systems with differential diagnosis (DDx) generators. Extending the concept of …

Collective Intelligence Increases Diagnostic Accuracy in a General Practice Setting

MD Blanchard, SM Herzog, JE Kämmer… - Medical Decision …, 2024 - journals.sagepub.com
Background General practitioners (GPs) work in an ill-defined environment where diagnostic
errors are prevalent. Previous research indicates that aggregating independent diagnoses …

Can clinical decision support systems be an asset in medical education? An experimental approach

SD Kafke, A Kuhlmey, J Schuster, S Blüher… - BMC Medical …, 2023 - Springer
Background Diagnostic accuracy is one of the major cornerstones of appropriate and
successful medical decision-making. Clinical decision support systems (CDSSs) have …

Impact of diagnostic checklists on the interpretation of normal and abnormal electrocardiograms

J Staal, R Zegers, J Caljouw-Vos, S Mamede, L Zwaan - Diagnosis, 2023 - degruyter.com
Objectives Checklists that aim to support clinicians' diagnostic reasoning processes are
often recommended to prevent diagnostic errors. Evidence on checklist effectiveness is …