ArticleInternational journal of environmental research and public health2023
Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study.
Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 7 of them syntheses that pooled it.
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Who cites it
159 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Leveraging chatbots for enhanced decision-making: a comprehensive literature review.Frontiers in artificial intelligence · 2026Pooled it
- The performance of large language models in dentomaxillofacial radiology: a systematic review.Dento maxillo facial radiology · 2025Pooled it
- Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Comparing Diagnostic Accuracy of Clinical Professionals and Large Language Models: Systematic Review and Meta-Analysis.JMIR medical informatics · 2025Pooled it
- Large Language Models for Chatbot Health Advice Studies: A Systematic Review.JAMA network open · 2025Pooled it
- Applications and Concerns of ChatGPT and Other Conversational Large Language Models in Health Care: Systematic Review.Journal of medical Internet research · 2024Pooled it
- The role of information systems in emergency department decision-making-a literature review.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- ChatGPT-generated help produces learning gains equivalent to human tutor-authored help on mathematics skills.PloS one · 2024Trial
- Evaluating digital triage symptom checker with historical triage-related adverse events.Scandinavian journal of primary health care · 2026Article
- AI as a Sparring Partner in Professional Settings: Counselors' Views on ChatGPT's Role and Potential in Pregnancy Termination Counseling.Archives of sexual behavior · 2026Article
- Teleophthalmology and Teleglaucoma in Clinical Practice: Attitudes of Ophthalmologists in Bulgaria.Healthcare (Basel, Switzerland) · 2026Article
- Large-language-models for pediatric diagnosis: Performance evaluation using real-world clinical notes from common and rare cases.Pediatric investigation · 2026Article
- Beyond accuracy metrics: Toward responsible integration of large language models in pediatric diagnostic reasoning.Pediatric investigation · 2026Article
- Gender-Attributed Persona Prompts and the Diagnostic Accuracy of Proprietary and Open-Weight Large Language Models in Chagas Disease and Visceral Leishmaniasis: A Paired Experimental Study.Healthcare (Basel, Switzerland) · 2026Article
- Use of Generative Artificial Intelligence in the Management of Low Back Pain: a Scoping Review.Journal of medical systems · 2026Article
- Are chatbots reliable sources of information regarding fluoride in pediatric dentistry?BMC oral health · 2026Article
- Virtual assistants based on artificial intelligence for oral diagnosis: help for clinicians AI oral diagnosis helper.Diagnostic pathology · 2026Article
- The last human touch: why AI doesn't belong in life's defining moments.BMC medical ethics · 2026Article
- Comparison of Intern Doctors and ChatGPT in Emergency Cases Assessment.Journal of clinical practice and research · 2026Article
- Assessing the Reliability of Large Language Models in Detecting Acute Knee Fractures on Radiographs:A Comparative Study.Journal of clinical practice and research · 2026Article
99 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The diagnostic accuracy of differential diagnoses generated by artificial intelligence (AI) chatbots, including the generative pretrained transformer 3 (GPT-3) chatbot (ChatGPT-3) is unknown. This study evaluated the accuracy of differential-diagnosis lists generated by ChatGPT-3 for clinical vignettes with common chief complaints. General internal medicine physicians created clinical cases, correct diagnoses, and five differential diagnoses for ten common chief complaints. The rate of correct diagnosis by ChatGPT-3 within the ten differential-diagnosis lists was 28/30 (93.3%). The rate of correct diagnosis by physicians was still superior to that by ChatGPT-3 within the five differential-diagnosis lists (98.3% vs. 83.3%,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.