Artificial intelligence (AI) holds promise for healthcare, but real-world implementation remains difficult. The Mayo clinic platform (MCP) addresses this by providing scalable, multi-institutional, de-identified data and analytical tools. Through four research projects, we demonstrate MCP's ability to support efficient cohort identification, AI model development, and real-world evidence generation. MCP enables broader accessibility and standardization compared to institutional EHRs, positioning
Accelerating AI innovation in healthcare: real-world clinical research applications on the Mayo Clinic Platform
Yue Yu·Cui Tao·R. Larsen·Clark C. Otley·Sivaraman Rajaganapathy·John Halamka·Mayank Goyal·Jun Feng·Yang Liu·Xiaodi Li·Ken Liu·Jianfu Li·Xinyue Hu·Phil Fiero·Soulmaz Boroumand·Nansu Zong·Nilufer Taner·Ahmed Abdelhameed
