Announcement: Dr. Girish Nadkarni to Lead AI and Digital Health Innovation

The appointment of Dr. Girish N. Nadkarni as Chair of the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai marks a significant milestone in the integration of artificial intelligence (AI) into modern healthcare. As the first department of its kind in a U.S. medical school, it underscores Mount Sinai’s commitment to pioneering AI-driven advancements in patient care, translational medicine, and biomedical research. Dr. Nadkarni, a leading physician-scientist, has made substantial contributions to precision medicine, including the development of FDA-approved AI-based prognostic tools for kidney disease. His extensive research portfolio, comprising over 375 peer-reviewed publications and multiple patents, demonstrates a profound expertise in leveraging AI for predictive analytics, disease modeling, and personalized treatment strategies.

Under Dr. Nadkarni’s leadership, Mount Sinai aims to further expand its AI capabilities, including the deployment of a supercomputing cluster—the largest among academic medical centers—to drive computational medicine forward. His collaboration with clinicians and researchers will facilitate the translation of AI innovations into real-world clinical applications, ensuring improved patient outcomes while addressing critical challenges such as algorithmic bias and equitable AI implementation. Additionally, his role as Director of the Hasso Plattner Institute for Digital Health will foster interdisciplinary partnerships aimed at optimizing data-driven healthcare solutions. Through these initiatives, Mount Sinai is poised to shape the future of AI in medicine, setting a precedent for responsible, effective, and transformative AI integration in healthcare systems worldwide.

 

Source: https://www.mountsinai.org/about/newsroom/2025/girish-n-nadkarni-md-mph-cph-named-to-leadership-roles-in-ai-and-digital-health-at-the-icahn-school-of-medicine-at-mount-sinai

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