Accelerating AI innovation in healthcare: real-world clinical research applications on the Mayo Clinic Platform

npj Health Systems 2026 Open access

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Authors: Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy, Jingna Feng, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Xiaoke Liu, Yang Liu, Nilufer Taner, Phil Fiero, Soulmaz Boroumand
+7 more Richard Larsen, Maneesh Goyal, Clark C. Otley, Nansu Zong, Vijay H. Shah, John Halamka, Cui Tao
DOI: 10.1038/s44401-026-00068-1
Cited by: 8
References: 27

Abstract

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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare Health Environment Cognitive Aging Health and Medical Research Impacts

Publication details

Journal / source
npj Health Systems
Publisher
Springer Science and Business Media LLC
Volume
3
Issue
1
Pages
17–17
Publication date
16 February 2026
Language
EN