Explore a groundbreaking 39-minute talk on the future of pediatric medicine through artificial intelligence and privacy-preserving technologies. Discover how BevelCloud's decentralized edge cloud service aims to revolutionize children's healthcare by connecting 1,000,000 machines across 500 global pediatric hospitals. Learn about real-time AI applications, federated learning, and the potential to reduce healthcare inequity worldwide. Gain insights from industry experts Timothy Chou and Raja Iqbal as they discuss the challenges of pediatric expertise concentration, long-tail conditions, and the implementation of cutting-edge technologies. Understand the roadmap for deploying these innovations across three continents and how you can contribute to this pediatric moonshot initiative.
Pediatric Moonshot - Global, Real-Time, Privacy-Preserving Applications for Children's Medicine
Overview
Syllabus
– Introduction
– Agenda
–Anthony Chang Intelligence-Based Medicine
– Pediatric clinical expertise is increasingly geographically concentrated
– Statistics on Pediatric expertise
– Long tail conditions are difficult to diagnose by one clinician
– Pediatric Moonshot
– Real-time applications
– BevelCloud’s Real-time privacy-preserving decentralized in-the-building edge cloud service
– BevelCloud’s Security-by-design for edge application
–Build with BevelCloud Studio
–BevelCloud enables building and deploying Pediatric applications
– Built for scale
– 2022 – 2023 deployment in three continents
– Clinical real-time, privacy-preserving Pediatric applications
– PACS Digital Twins, offline image sharing with a clinical expert
– Pediatric Pandemic Network
– Real-time, privacy-preserving AI applications
– Consumer AI uses Federated Learning
– Pediatric AI can use Federated Learning
– Federated Learning Lab
– Moving research from the Bench to the Bedside Chang Method
– Q/A
– Why is there a focus on Pediatrics
– How to get involved? What knowledge is required to help with this initiative?
Taught by
Data Science Dojo
