AI-ready Without the Foundation: The Medical Education Dilemma Read more about AI-ready Without the Foundation: The Medical Education Dilemma This presentation gives an overview of integrating AI into medical education, focusing on challenges, opportunities, and the need for strong digital readiness and equity.
A Mapping of AI Education and Training Initiatives for Health Professionals in the Western Pacific Read more about A Mapping of AI Education and Training Initiatives for Health Professionals in the Western Pacific This presentation gives an overview of AI education for health professionals in the Western Pacific, highlighting key findings and recommendations for workforce capacity and inclusive access.
Strategy for AI in Healthcare for India (SAHI) Read more about Strategy for AI in Healthcare for India (SAHI) This presentation gives an overview of India’s SAHI strategy for AI in healthcare, highlighting its key pillars and phased approach to responsible adoption.
We’ve Decided To Adopt - What Must Be In Place? Read more about We’ve Decided To Adopt - What Must Be In Place? This presentation gives an overview of the requirements for safe and effective AI adoption in healthcare, including governance, infrastructure, validation, and readiness.
Digital Public Infrastructure for AI Read more about Digital Public Infrastructure for AI This presentation gives an overview of the role of Digital Public Infrastructure in enabling effective and equitable AI deployment in health systems of LMICs.
Should We Adopt This AI? How To Prioritize? Read more about Should We Adopt This AI? How To Prioritize? This presentation gives an overview of a value-based framework for evaluating AI adoption in healthcare, focusing on benefits, risks, costs, and equity.
Sankalp Khanna Keywords Health artificial intelligence digital health Read more about Sankalp Khanna Dr. Sankalp Khanna is a Senior Principal Research Scientist and leads the Health Intelligence team at the CSIRO Australian e-Health Research Centre. His research is focused on applying Artificial Intelligence and Machine Learning techniques to model, analyse, predict, simulate and optimise patient flow through Australian public hospitals; and develop explainable algorithms for delivering decision support that clinicians can interpret and trust. Solutions developed by Sankalp have helped reshape workflow and policy in hospitals in Australia and overseas.
AI Application for Primary Healthcare: Pyeongchang’s Experience Read more about AI Application for Primary Healthcare: Pyeongchang’s Experience This presentation gives an overview of Pyeongchang County’s use of AI in primary healthcare, focusing on chronic disease management for diabetes and hypertension.
Digital Twin Powered Equitable Patient Access in Queensland Hospitals Read more about Digital Twin Powered Equitable Patient Access in Queensland Hospitals This presentation gives an overview of Queensland’s Digital Twin system for AI-driven risk forecasting, demand prediction, and equitable patient access.
Open Source, On-Device AI for Improving Healthcare Delivery Read more about Open Source, On-Device AI for Improving Healthcare Delivery This presentation gives an overview of an open-source, on-device AI system for secure clinical note generation and decision support in healthcare.