AI in Early Detection of Diseases - Session 2

Explore the cutting-edge innovations in AI-driven early disease detection in this 53-minute panel discussion from the Alan Turing Institute's AI UK 22 showcase. Delve into how artificial intelligence and data science are revolutionizing disease diagnosis and treatment, with a focus on improving patient outcomes through earlier detection. Learn from expert panelists representing Genomics England, Cancer Research UK, NICE, and leading academic institutions as they discuss the latest advancements, challenges, and future prospects of AI in healthcare. Gain insights into topics such as genomics, screening methods, addressing clinical needs, equity concerns, and the potential of AI to transform early diagnosis across various diseases. Understand the importance of prospective studies, the distinction between early detection and early diagnosis, and the role of upstream research in driving innovation. Discover how AI technologies are shaping the future of healthcare and their potential to significantly improve patient survival rates and treatment efficacy.

Intro
Welcome
Essay question
Challenges
Detect vs Treat
Counter perspective
Addressing clinical needs
Relevant and helpful
What are you excited about
What are prospective studies
How can we get to a stage of prospective studies
Early detection vs early diagnosis
Genomics
Screening
Hope
Power
Trust
Upstream research
Applications of genomics
Equity and bias