Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy, Jingna Feng, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Xiaoke Liu, Yang Liu, Nilufer Taner, Phil Fiero, Soulmaz Boroumand, Richard Larsen, Maneesh Goyal, Clark C. Otley, Nansu Zong, Vijay H. Shah, John Halamka, Cui Tao
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 it as a powerful platform for advancing translational research and precision medicine.