A Multidisciplinary Assessment of ChatGPT's Knowledge of Amyloidosis: Observational Study.
Ryan C KingJamil S SamaanYee Hui YeoYuxin PengDavid C KunkelThomas H BrannaganRoxana GhashghaeiPublished in: JMIR cardio (2024)
Large language models are a promising tool for accurate and reliable health information for patients living with amyloidosis. However, ChatGPT's responses exceeded the American Medical Association's recommended fifth- to sixth-grade reading level. Future studies focusing on improving response accuracy and readability are warranted. Prior to widespread implementation, the technology's limitations and ethical implications must be further explored to ensure patient safety and equitable implementation.
Keyphrases
- health information
- patient safety
- quality improvement
- healthcare
- end stage renal disease
- primary care
- social media
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- autism spectrum disorder
- peritoneal dialysis
- working memory
- high resolution
- current status
- mass spectrometry
- patient reported
- case control