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Privacy-Preserving, Real-Time AI Agents That Advance Pediatric Care Rurally, Nationally, and Globally
Healthcare Machines
500
Children’s Hospitals
1K
We have the ability to leverage advanced AI and engineering technology to make a difference for children who are not geographically or socioeconomically lucky, ensuring they receive the care they deserve regardless of where they live.
50
pediatric cardiologists
None
in Thunder Bay
+100
pediatric cardiologists per year
+4M
Population annually
2nd
CHD* leading cause of death in children under 5
*congenital heart disease
300
pediatric cardiologists for
1.39B
#1
cause of death for Pneumonia
no specialists
to diagnose
Enable clinical experts to reach patients beyond their immediate geographical areas
Making critical data readily available for more timely and accurate care
Share privacy-preserving, real-time patient data, as simple as a smartphone app
We need a new "rocket" - a privacy-preserving distributed technology to protect patient data and deliver real-time results at the point of care.
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Deploying AI agents as virtual specialists to diagnose and treat pediatric diseases globally
Uniting 80+ clinicians and researchers worldwide, making the Moonshot real, every day
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Join the Conversation - connect with the authors.
We need AI to bring the best of pediatric care to the children of the world.
Anthony Chang, MD, MPH, MBA
Chief Intelligence and Innovation Officer, CHOC Founder & Chair, AlMed Author, Intelligence Based Medicine
This may be the greatest innovation in the history of medicine.
Robert Lee Kilpatrick
Executive Director at Scientific American
The Pediatric Moonshot will give us the transformative power of using information to create a holistic model of children's health. This could be a catalyst for a major step forward in the wellness of humanity.
R. Lawrence Moss, MD
President and Chief Executive Officer Nemours Children's Health System Wilmington, Delaware
Pediatric Moonshot seeks to address a critical infrastructure gap and ensures children's health will have the opportunity to benefit from the transformative opportunities in precision health and clinical machine learning.
Matthew Lungren, MD, MPH
former Associate Professor Stanford University School of Medicine, Co-Director Stanford Center for Artificial Intelligence in Healthcare
Your support fuels a mission bigger than ourselves
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