Recently, Professor Ma Wei-Ying, Chief Scientist at Tsinghua University’s Institute for AI Industry Research (AIR), along with Executive Dean Professor Liu Yang and Assistant Professor Ma Weizhi (first author), collaborated with several professors from Tsinghua University’s School of Medicine, Department of Industrial Engineering, and Department of Psychology and Cognitive Science, as well as renowned scholars from Shanghai Jiao Tong University, the University of Birmingham in the UK, UCLA Cedars-Sinai Medical Center, the First Affiliated Hospital of Sun Yat-sen University, Medical University of Vienna, University College London, and the National University of Singapore, to publish a viewpoint article titled "Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health" in the high-impact medical AI journal *NEJM AI*.
This article discusses the evolution of medical AI models and key technologies, introducing the concepts of Universal Medical Artificial Intelligence (UMAI) and Universal Health Artificial Intelligence (UHAI). It also summarizes the critical challenges and technological pathways associated with these concepts.