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Standard AI models improve predictions, but systematically biased predictions reduce accuracy.
Chatbots can generate quality responses to cancer patient questions, comparable to physician responses.
A high probability of atrial fibrillation by AI-ECG-AF score correlated with cerebral infarcts on MRI.
Software improvements show high sensitivity across skin cancer types, including melanoma.
Improvements in both systolic and diastolic blood pressure were seen at 12 weeks and were even greater at 24 weeks.
Responses are moderately understandable, not readily actionable, and written at the college reading level.
The performance for GPT-4 neared that of expert ophthalmologists and exceeded the performance of trainees and nonspecialists.
XGBoost was identified as the optimal model, achieving average test AUC of 0.90 before the synthetic minority oversampling technique.
Issues include explainability, patient consent and responsibility.
The likelihood of chatbot answers containing incorrect or inappropriate material was comparable with human answers.