Evaluating ChatGPT's Accuracy in Providing Screening Mammography Recommendations among Older Women: Artificial Intelligence and Cancer Communication.
Dejana BraithwaiteShama D KaranthJoel DivakerNancy SchoenbornKenneth LinIlana RichmanBruno HochheggerSuzanne O'NeillMara SchonbergPublished in: Research square (2024)
While recognizing the limitations of ChatGPT, it has potential to provide accurate health care information and could be utilized by healthcare professionals to assist in providing recommendations for breast cancer screening in patients age 75 years and older. Physician oversight will be necessary, due to the possibility of ChatGPT to provide inappropriate and unreliable responses, and the importance of accuracy in medicine.
Keyphrases
- artificial intelligence
- healthcare
- end stage renal disease
- machine learning
- big data
- ejection fraction
- chronic kidney disease
- newly diagnosed
- emergency department
- deep learning
- primary care
- papillary thyroid
- prognostic factors
- clinical practice
- peritoneal dialysis
- physical activity
- high resolution
- magnetic resonance imaging
- health information
- patient reported outcomes
- computed tomography
- climate change
- squamous cell
- childhood cancer