Artificial intelligence (AI) has practically limitless applications in health care, ranging from auto-drafting patient messages in MyChart to optimizing organ transplantation and improving tumor removal accuracy. Despite their potential benefit to doctors and patients alike, these tools have been met with skepticism because of patient privacy concerns, the possibility of bias, and device accuracy.
Almost half of FDA-approved AI medical devices are not trained on real patient data, research reveals
