Translating artificial intelligence into clinical practice

Duoru Lin, Haotian Lin


With increasing reports of breakthroughs of artificial intelligence (AI) in medicine in recent years, the U.S. Food and Drug Administration (FDA) permitted marketing of the first medical AI-based device to screen and monitor diabetic retinopathy in April 2018 (1), indicating an expected near boom of clinical use of AI in health care. However, the appropriate application pattern still requires further exploration regarding how to apply AI in real-world clinical practice to translate this exciting technological advance into meaningful clinical impacts.