Explore real-world health applications of AI through presentations by three cutting-edge health start-ups and a discussion with leading investors. Gain insights into the experiences of academic spin-offs entering the health and medical science market, learn about their most interesting methods, and discover what investors are looking for in future AI health ventures. Delve into topics such as AI approaches in healthcare, breast cancer detection, generalizability, double reading, holistic assessment, regulatory support, reimbursement, data fairness, AI generalizability, open-source tools, liability for misdiagnosis, and the future of GP practice. Understand the challenges and opportunities in deploying AI in the health sector, including regulatory support, investment trends, data collection, and the formalization of use cases.
Overview
Syllabus
Introduction
Welcome
What is your approach to AI
What is the best place for AI
Why AIUK is working with breast cancer
Generalizability
MIA
Double reading
First AI study
Truthing
Holistic assessment
Standalone results
Double reading results
AIUK project
Key takeaways
Panel discussion
Challenges
Regulatory support
Reimbursement
Investment in the sector
Prioritisation
Data fairness
AI generalizability
Data collection
Open source tools
Liability for misdiagnosis
Formalise use cases
Intended use
Black box nature
Investors questions
Excess capital
Future of GP practice
AI in the health sector
True AI
Taught by
Alan Turing Institute
