Mount Sinai opens AI center focused on pediatric health care
March 25, 2025
by Gus Iversen, Editor in Chief
The Icahn School of Medicine at Mount Sinai has launched the Center for Artificial Intelligence in Children’s Health, a new research and clinical initiative aimed at advancing AI-driven tools for diagnosing, treating, and managing pediatric conditions.
The initiative is the first of its kind in New York City dedicated specifically to children’s health and AI.
Benjamin S. Glicksberg, Ph.D., will lead the center. Glicksberg, who has experience in both academic research and industry innovation, will also serve as associate professor of AI and human health at the Icahn School of Medicine.
According to Mount Sinai, the center will address persistent barriers that have slowed AI adoption in pediatric care, such as data limitations, privacy regulations, and regulatory complexity. The group plans to develop integrated data systems and conduct clinical trials to support real-time diagnostics, predictive modeling, and precision therapies for children and adolescents.
“The new center is dedicated to addressing these challenges by safely developing, testing, and embedding AI directly into child healthcare—enabling earlier diagnoses, preventive measures, computer-augmented imaging for complex conditions, expedited drug discovery, and highly personalized treatment plans,” said Glicksberg.
Initial priorities include the creation of a centralized children’s health data hub, development of AI-enabled clinical tools at Mount Sinai Kravis Children’s Hospital, and collaborations to optimize care delivery through Mount Sinai’s Center for Child Health Services Research.
The center is housed within the Mindich Child Health and Development Institute and is cosponsored by the Windreich Department of Artificial Intelligence and Human Health. Both entities are part of the New York City-based Mount Sinai Health System.
The launch reflects a broader push within Mount Sinai to integrate AI into care pathways. In 2024, the system’s NutriScan tool, used to detect malnutrition in hospitalized patients, won the Hearst Health Prize for its application of machine learning to improve patient outcomes and resource use.
The initiative is the first of its kind in New York City dedicated specifically to children’s health and AI.
Benjamin S. Glicksberg, Ph.D., will lead the center. Glicksberg, who has experience in both academic research and industry innovation, will also serve as associate professor of AI and human health at the Icahn School of Medicine.
According to Mount Sinai, the center will address persistent barriers that have slowed AI adoption in pediatric care, such as data limitations, privacy regulations, and regulatory complexity. The group plans to develop integrated data systems and conduct clinical trials to support real-time diagnostics, predictive modeling, and precision therapies for children and adolescents.
“The new center is dedicated to addressing these challenges by safely developing, testing, and embedding AI directly into child healthcare—enabling earlier diagnoses, preventive measures, computer-augmented imaging for complex conditions, expedited drug discovery, and highly personalized treatment plans,” said Glicksberg.
Initial priorities include the creation of a centralized children’s health data hub, development of AI-enabled clinical tools at Mount Sinai Kravis Children’s Hospital, and collaborations to optimize care delivery through Mount Sinai’s Center for Child Health Services Research.
The center is housed within the Mindich Child Health and Development Institute and is cosponsored by the Windreich Department of Artificial Intelligence and Human Health. Both entities are part of the New York City-based Mount Sinai Health System.
The launch reflects a broader push within Mount Sinai to integrate AI into care pathways. In 2024, the system’s NutriScan tool, used to detect malnutrition in hospitalized patients, won the Hearst Health Prize for its application of machine learning to improve patient outcomes and resource use.