Girish N. Nadkarni, MD, MPH, CPH, Named to Leadership Roles in AI and Digital Health at the Icahn...

New York, NY, Jan. 30, 2025 (GLOBE NEWSWIRE) -- Girish N. Nadkarni, MD, MPH, CPH, an accomplished physician-scientist driving advances in artificial intelligence, has been appointed Chair of the Windreich Department of Artificial Intelligence and Human Health…
Xenia Predovic · 5 months ago · 3 minutes read


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Mount Sinai Appoints Dr. Girish Nadkarni to Lead Nation's First AI and Human Health Department

A Trailblazing Appointment at the Forefront of AI in Medicine

In a landmark move, Mount Sinai has appointed Girish N. Nadkarni, MD, MPH, CPH, as the inaugural Chair of the Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine. This groundbreaking department, the first of its kind in any U.S. medical school, solidifies Mount Sinai’s position as a leader in integrating artificial intelligence into health care.

Dr. Nadkarni, a renowned physician-scientist and innovator in AI, will also serve as Director of the Hasso Plattner Institute for Digital Health. This dual role positions him to spearhead the development and implementation of cutting-edge AI solutions across the Mount Sinai Health System.

Mount Sinai's Expanding AI Ecosystem: A Hub for Innovation

This appointment represents the latest in a series of strategic initiatives undertaken by Mount Sinai to harness the transformative potential of AI. The institution recently launched a state-of-the-art AI facility, designed to foster collaboration and accelerate innovation in translational medicine. An exciting new AI tool, soon to be unveiled, will exclusively empower students at the Icahn School of Medicine with cutting-edge resources, further enhancing their education and research capabilities.

Furthermore, Mount Sinai boasts the largest supercomputing cluster of any academic medical center globally, significantly expanding its computational and data ecosystem.

Transforming Health Care Through AI-Driven Collaboration

In his new role, Dr. Nadkarni will champion AI-driven breakthroughs across the Mount Sinai Health System, collaborating with clinicians and researchers from all departments and institutes. Partnering with Lisa S. Stump, MS, FASHP, Chief Digital Information Officer and Dean for Information Technology, he will leverage data and platforms to accelerate disease cures, enhance patient outcomes, and optimize operational processes. Their shared vision prioritizes the safe, effective, and equitable integration of AI, positioning Mount Sinai as a model for progressive, AI-enabled health systems.

“Partnering with Dr. Nadkarni is an incredible opportunity to push the boundaries of what’s possible in health care," says Mrs. Stump. "Together, we will optimize the power of AI to transform patient care, drive groundbreaking research, and set new standards for a progressive, AI-enabled health system at Mount Sinai.”

A Visionary Leader Shaping the Future of Medicine

Dr. Nadkarni’s impressive track record includes landmark studies on the clinical implementation of AI, addressing bias in AI algorithms, and developing predictive AI approaches using multimodal data. His work as Co-Director of The Charles Bronfman Institute for Personalized Medicine and inaugural System Chief of the Division of Data-Driven and Digital Medicine within Mount Sinai’s Department of Medicine has been instrumental in advancing AI applications in medicine and driving progress in precision medicine.

"Mount Sinai is uniquely positioned to lead the next wave of AI-driven transformation in medicine," says Dr. Nadkarni. "Together, we will ensure that AI is not only cutting-edge, but also free from bias, transparent, and implemented responsibly and safely, ultimately improving patient care worldwide.”

A Legacy of Innovation and Mentorship

Dr. Nadkarni's extensive training at the Icahn School of Medicine at Mount Sinai laid the foundation for his pioneering contributions. He holds multiple patents for AI applications in medicine, co-invented the first FDA-approved AI bioprognostic tool for kidney disease, and co-founded Renalytix plc, a company focused on early risk assessment of kidney function decline.

A prolific researcher and mentor, he has published over 375 peer-reviewed articles, secured $40 million in funding, and mentored over 60 trainees, many of whom now hold leadership positions.

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