Главная
Study mode:
on
1
Introduction
2
Welcome
3
What is your approach to AI
4
What is the best place for AI
5
Why AIUK is working with breast cancer
6
Generalizability
7
MIA
8
Double reading
9
First AI study
10
Truthing
11
Holistic assessment
12
Standalone results
13
Double reading results
14
AIUK project
15
Key takeaways
16
Panel discussion
17
Challenges
18
Regulatory support
19
Reimbursement
20
Investment in the sector
21
Prioritisation
22
Data fairness
23
AI generalizability
24
Data collection
25
Open source tools
26
Liability for misdiagnosis
27
Formalise use cases
28
Intended use
29
Black box nature
30
Investors questions
31
Excess capital
32
Future of GP practice
33
AI in the health sector
34
True AI
Description:
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.

Health Applications of AI in the Real World

Alan Turing Institute
Add to list
0:00 / 0:00