A systematic evaluation of the performance of GPT-4 and PaLM2 to diagnose comorbidities in MIMIC-IV patients.
Peter SarvariZaid Al-FagihAbdullatif GhuwelOthman Al-FagihPublished in: Health care science (2024)
The results suggest that artificial intelligence (AI) has the potential when working alongside clinicians to reduce cognitive errors which lead to hundreds of thousands of misdiagnoses every year. However, human oversight of AI remains essential: LLMs cannot replace clinicians, especially when it comes to human understanding and empathy. Furthermore, a significant number of challenges in incorporating AI into health care exist, including ethical, liability and regulatory barriers.
Keyphrases
- artificial intelligence
- machine learning
- big data
- deep learning
- endothelial cells
- healthcare
- end stage renal disease
- chronic kidney disease
- palliative care
- induced pluripotent stem cells
- ejection fraction
- peritoneal dialysis
- pluripotent stem cells
- newly diagnosed
- prognostic factors
- patient safety
- transcription factor
- social media
- patient reported outcomes
- electronic health record
- adverse drug
- health insurance