Key points are not available for this paper at this time.
The accuracy and reproducibility of ChatGPT to self-diagnose five common orthopedic conditions were inconsistent. The accuracy could potentially be improved by adding symptoms that could easily identify a specific location. Only a few answers were accompanied by a strong recommendation to seek medical attention according to our study standards. Although ChatGPT could serve as a potential first step in accessing care, we found variability in accurate self-diagnosis. Given the risk of harm with self-diagnosis without medical follow-up, it would be prudent for an NLP to include clear language alerting patients to seek expert medical opinions. We hope to shed further light on the use of AI in a future clinical study.
Building similarity graph...
Analyzing shared references across papers
Loading...
Tomoyuki Kuroiwa
Aida K. Sarcon
Takuya Ibara
SHILAP Revista de lepidopterología
Journal of Medical Internet Research
Mayo Clinic
Mayo Clinic in Arizona
WinnMed
Building similarity graph...
Analyzing shared references across papers
Loading...
Kuroiwa et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69dc1c6d4ee46a2379b64f3f — DOI: https://doi.org/10.2196/47621