The AI and Emerging Technologies in Medicine concentration is shaping the future of health care through advanced technology. Offered through the Icahn School of Medicine at Mount Sinai’s PhD in Biomedical Sciences program, this training area focuses on harnessing the power of AI and machine learning to transform biomedical research and improve patient outcomes.

Designed for students with strong quantitative skills, the program provides a robust foundation in AI and machine learning techniques as it applies to health care. Participants learn to develop sophisticated predictive models for diagnostics and therapeutics while drawing on knowledge from computer science, mathematics, and engineering. Through partnerships with leading technical institutions, this training also offers opportunities for collaborative research and professional growth, preparing students to become leaders in AI-informed medicine.

AIHH Grand Rounds is a monthly seminar series showcasing cutting-edge research at the intersection of AI, data science, and medicine. Each session features a keynote talk followed by open discussion to encourage interdisciplinary collaboration.

The series launched on September 15, 2025, and takes place both in person and virtually via Zoom. Speakers include both internal and external experts in AI and healthcare. For more details, please refer to our upcoming calendar of events. This series is accredited for CME and designed to foster learning and collaboration across the Mount Sinai Health System.

Our Master of Science in Biomedical Data Science and AI prepares students to address critical health care challenges through advanced data science and artificial intelligence technologies. The program develops professionals who can leverage large electronic medical record repositories, cutting-edge AI tools, and multidisciplinary coursework to transform biomedical data into actionable insights.

By applying data science and AI methodologies, graduates of the program are equipped to drive innovations in precision medicine, including personalized treatment strategies, advanced biomedical image analysis, and comprehensive improvements in health care delivery.

The Mid-Career Instruction in Data and AI Skills Training Program (MIDAS)Training Program is designed for faculty, trainees, and students seeking to build or expand their understanding of Artificial Intelligence and Machine Learning in healthcare. Whether you are new to AI/ML or looking to deepen your expertise, MIDAS offers structured, interactive learning that connects technical concepts to real-world clinical and research applications.

The program is jointly developed by the Department of Medicine (Division of D3M) and the WindreichDepartment of AI and Human Health. MIDAS is spearheaded by Dr. Neomi Shah, Dr. Girish Nadkarni, and Dr. Lili Chan.

There are two tiers of participation: a 4-week Basic course and a 6-week Full Access course. The Full Access track includes live labs and more advanced sessions. Participants may claim up to 10.5 CME credits for the Basic offering or up to 20.5 CME credits for the Full Access offering.

The MIDAS program is held twice per year. Our next session will take place in Spring 2026.

Advances in computing power, learning algorithms, big data, and other technologies have the potential to make the world a happier, healthier place. Mount Sinai would like to ensure that the most brilliant minds in machine learning can focus on the development of in artificial intelligence for human health.

The Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai is the foremost department of its kind within a medical school. Our goal is to make the tools and techniques of AI available to all Mount Sinai researchers and physicians throughout the Health System’s hospitals and 400-plus ambulatory clinics.

To help build a world-class research program for AI- and data-driven innovation in human health, the department offers the Eric and Wendy Schmidt AI in Human Health Fellowship. Our aim is to embed talented early-career machine-learning scientists across our health system, focusing on clinically relevant questions. We aim to reduce health disparities in our communities, improve patient outcomes, and propel science forward to new frontiers. 

Throughout the duration of their tenure, all Eric and Wendy Schmidt AI in Human Health Fellows are expected to develop research programs, submit initial NIH grants, recognize Schmidt Sciences in research publications, and, ideally, become Assistant Professors within the Icahn School of Medicine upon the successful completion of their fellowship.

We welcome you to learn more and apply for the Eric and Wendy Schmidt AI in Human Health Fellowship.