The Mount Sinai Health System on Monday announced its new Center for Artificial Intelligence in Children’s Health, which will explore new ways to develop, test and embed AI directly into pediatric healthcare to enable earlier diagnoses, preventive approaches and personalized treatment plans.
WHY IT MATTERS
To accelerate AI research and personalized treatment in children’s health, Mount Sinai said it will create an integrated data infrastructure and advance multimodal AI research and leverage computer-augmented imaging, multi-omics research, rare disease identification and pharmacogenomics to enhance health economics and care delivery.
“While AI has advanced at a remarkable pace in many areas of medicine, pediatric medicine has unfortunately lagged due to stricter privacy considerations, more complicated regulatory pathways and limited data infrastructure,” said Benjamin Glicksberg, a digital health and clinical informatics expert, in a statement.
Glicksberg, who will also serve as associate professor of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai, will lead the center. He’ll focus on enabling the health system to offer more precise diagnostics and personalized treatments for young patients, according to Dr. Brendan Carr, Mount Sinai’s chief executive officer and Dr. Kenneth L. Davis Distinguished Chair.
The Center, established under The Mindich Child Health and Development Institute, will also spearhead clinical trials at Mount Sinai Kravis Children’s Hospital to enhance AI-driven diagnostics, predictive modeling and real-time monitoring.
“The Center for AI in Children’s Health underscores Mount Sinai’s commitment to pioneering AI-driven technologies that will enable Mount Sinai to deliver world-class care to our children,” Carr said in a statement.
“Our kids are our future, and under Dr. Glicksberg’s leadership, the Center for AI in Children’s Health will advance children’s health outcomes for generations to come,” added Dr. Girish Nadkarni, Mount Sinai’s Windreich Department of Artificial Intelligence and Human Health chair, which is co-sponsoring the new Center.
THE LARGER TREND
Health systems have been using AI imaging tools to improve patient access and treatment and to predict diseases.
Pediatrics researchers at the Children’s Hospital of Philadelphia developed a deep-learning model to enhance their understanding of disease progression and made the AI available to others for tumor analysis.Â
The model can learn patterns and make predictions or classifications faster than previous approaches, CHOP researchers said.
The “approach could redefine how we understand complex tissues at the cellular level, paving the way for transformative breakthroughs in healthcare,” Kai Tan, the study’s lead author and a professor in the Department of Pediatrics at CHOP, said in December.
ON THE RECORD
“This 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 in a statement.
“By harnessing the power of advanced data science and clinical expertise, we aim to usher in a new era for child healthcare – delivering faster diagnoses, personalized treatments and transformative outcomes,” added Nadkarni.
Andrea Fox is senior editor of Healthcare IT News.
Email:Â [email protected]
Healthcare IT News is a HIMSS Media publication.
