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– Consumer AI uses Federated Learning
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Classroom Contents
Pediatric Moonshot - Global, Real-Time, Privacy-Preserving Applications for Children's Medicine
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- 1 – Introduction
- 2 – Agenda
- 3 –Anthony Chang Intelligence-Based Medicine
- 4 – Pediatric clinical expertise is increasingly geographically concentrated
- 5 – Statistics on Pediatric expertise
- 6 – Long tail conditions are difficult to diagnose by one clinician
- 7 – Pediatric Moonshot
- 8 – Real-time applications
- 9 – BevelCloud’s Real-time privacy-preserving decentralized in-the-building edge cloud service
- 10 – BevelCloud’s Security-by-design for edge application
- 11 –Build with BevelCloud Studio
- 12 –BevelCloud enables building and deploying Pediatric applications
- 13 – Built for scale
- 14 – 2022 – 2023 deployment in three continents
- 15 – Clinical real-time, privacy-preserving Pediatric applications
- 16 – PACS Digital Twins, offline image sharing with a clinical expert
- 17 – Pediatric Pandemic Network
- 18 – Real-time, privacy-preserving AI applications
- 19 – Consumer AI uses Federated Learning
- 20 – Pediatric AI can use Federated Learning
- 21 – Federated Learning Lab
- 22 – Moving research from the Bench to the Bedside Chang Method
- 23 – Q/A
- 24 – Why is there a focus on Pediatrics
- 25 – How to get involved? What knowledge is required to help with this initiative?
