PreprintCited by 60Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareClinical Reasoning and Diagnostic Skills

ChatGPT as a medical doctor? A diagnostic accuracy study on common and rare diseases

Open access
Mehnen, Lars, Gruarin, Stefanie, Vasileva, Mina, Knapp, Bernhard·2023·medRxiv

Abstract

Seeking medical advice online has become popular in the recent past. Therefore a growing number of people might ask the recently hyped ChatGPT for medical information regarding their conditions, symptoms and differential diagnosis. In this paper we tested ChatGPT for its diagnostic accuracy on a total of 50 clinical case vignettes including 10 rare case presentations. We found that ChatGPT 4 solves all common cases within 2 suggested diagnoses. For rare disease conditions ChatGPT 4 needs 8 or more suggestions to solve 90% of all cases. The performance of ChatGPT 3.5 is consistently lower than the performance of ChatGPT 4. We also compared the performance between ChatGPT and human medical doctors. We conclude that ChatGPT might be a good tool to assist human medical doctors in diagnosing difficult cases, but despite the good diagnostic accuracy, ChatGPT should be used with caution by non-professionals.

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Crossref · 10.1101/2023.04.20.23288859

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References 11 · Cited by 60

Research works printed but not linked: 1

  1. Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, et al. Attention is All you Need. Advances in Neural Information Processing Systems. Curran Associates, Inc.; 2017. Available: https://papers.nips.cc/paper_files/paper/2017/hash/3f5ee243547dee91fbd053c1c4a845aa- Abstract.html

Authors
Mehnen, L., Gruarin, S., Vasileva, M., & Knapp, B.
Affiliations
University of Applied Sciences Technikum Wien (AT)
Corresponding author
Knapp, Bernhard
Venue
medRxiv
Publisher
openRxiv
Published
2023-04-26
OpenAlex
W4367041395
Cited by
60
References
11
Citations by year
2026: 5 · 2025: 15 · 2024: 29 · 2023: 11
Type
posted content
Language
en
Open access
Licence
cc-by-nc-nd
Locations
medRxiv (acceptedVersion, cc-by-nc-nd)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
Keywords
ChatGPT, large language models, diagnostic accuracy, rare diseases, common diseases, clinical case vignettes, differential diagnosis, online medical advice, AI-assisted diagnosis

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