Investigating the Accuracy and Completeness of an Artificial Intelligence Large Language Model About Uveitis: An Evaluation of ChatGPT.
Rayna F MarshallKrishna MallemHannah XuJennifer ThorneBryn BurkholderBenjamin ChaonPaulina LibermanMeghan BerkenstockPublished in: Ocular immunology and inflammation (2024)
ChatGPT can provide relatively high accuracy responses for various questions related to uveitis; however, the answers it provides are incomplete, with some inaccuracies. Its utility in providing medical information requires further validation and development prior to serving as a source of uveitis information for patients.
Keyphrases
- artificial intelligence
- juvenile idiopathic arthritis
- ankylosing spondylitis
- end stage renal disease
- machine learning
- big data
- deep learning
- newly diagnosed
- chronic kidney disease
- healthcare
- ejection fraction
- prognostic factors
- peritoneal dialysis
- health information
- rheumatoid arthritis
- patient reported outcomes
- systemic lupus erythematosus