Introduction to AI in Children’s Health
The Mount Sinai Health System has 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. This new center aims to enable earlier diagnoses, preventive approaches, and personalized treatment plans for children.
Why is this Important?
To accelerate AI research and personalized treatment in children’s health, Mount Sinai will create an integrated data infrastructure and advance multimodal AI research. This will involve leveraging computer-augmented imaging, multi-omics research, rare disease identification, and pharmacogenomics to enhance health economics and care delivery. According to Benjamin Glicksberg, a digital health and clinical informatics expert, "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."
Leadership and Goals
Glicksberg will lead the center and serve as associate professor of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai. He will focus on enabling the health system to offer more precise diagnostics and personalized treatments for young patients. 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 Larger Trend
Health systems have been using AI imaging tools to improve patient access and treatment and to predict diseases. For example, 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. This model can learn patterns and make predictions or classifications faster than previous approaches.
Expert Insights
According to Dr. Brendan Carr, Mount Sinai’s chief executive officer, "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." Dr. Girish Nadkarni, Mount Sinai’s Windreich Department of Artificial Intelligence and Human Health chair, added, "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."
Conclusion
The new Center for Artificial Intelligence in Children’s Health at Mount Sinai has the potential to revolutionize pediatric healthcare by enabling earlier diagnoses, preventive approaches, and personalized treatment plans. With its integrated data infrastructure, advanced multimodal AI research, and clinical trials, this center is poised to make a significant impact on children’s health outcomes.
FAQs
- What is the main goal of the Center for Artificial Intelligence in Children’s Health?
The main goal of the center is to develop, test, and embed AI directly into pediatric healthcare to enable earlier diagnoses, preventive approaches, and personalized treatment plans. - Who will lead the Center for Artificial Intelligence in Children’s Health?
The center will be led by Benjamin Glicksberg, a digital health and clinical informatics expert. - What kind of research will the center conduct?
The center will conduct clinical trials to enhance AI-driven diagnostics, predictive modeling, and real-time monitoring, as well as advance multimodal AI research and leverage computer-augmented imaging, multi-omics research, rare disease identification, and pharmacogenomics. - How will the center impact children’s health outcomes?
The center has the potential to revolutionize pediatric healthcare by enabling earlier diagnoses, preventive approaches, and personalized treatment plans, ultimately leading to better health outcomes for children.
