Almost half of FDA-approved AI medical devices are not trained on real patient data, research reveals

Medical Xpress August 26, 2024
Kendall Daniels, University of North Carolina Health Care

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.

In response to the rapidly evolving use and approval of AI medical devices in health care, a multi-institutional team of researchers at the UNC School of Medicine, Duke University, Ally Bank, Oxford University, Colombia University, and University of Miami have been on a mission to build public trust and evaluate how exactly AI and algorithmic technologies are being approved for use in patient care.