Expo Talk: The Future of AI-based Diagnosis
In this educational session, Jamie Keenan, Associate Director of Health Unlimited, Professor Sotirios ‘Sotos’ Tsaftaris, Chair in Machine Learning and Computer Vision at The University of Edinburgh and the Canon Medical/Royal Academy of Engineering Research Chair in Healthcare AI and Dr Ken Sutherland, President of Canon Medical Research Europe will discuss what Artificial Intelligence is and how it works in medical settings.
During this session, delegates will understand more about training AI to recognise patterns of disease and how the partnership between AI and humans can empower clinicians with more time to provide care and ability to make swifter decisions.
This ultrasound educational talk offers 1 CPD credit.
Speaker
Jamie Keenan
Associate Director
Health Unlimited
Professor Sotirios ‘Sotos’ Tsaftaris
Chair in Machine Learning and Computer Vision & Chair in Healthcare AI
University of Glasgow & Canon Medical/Royal Academy of Engineering Research (Respectively)
Dr. Ken Sutherland
President
Canon Medical Research EuropeCourse Information
At the end of this session, delegates will understand:
- What Artificial Intelligence is and how it works in medical environments
- How AI-driven tools may make early-stage interventions possible for the most devastating illnesses
- How AI might be the future for rapid diagnosis – with an ageing population and the increased need to deliver treatment in the most cost-effective way
- How Artificial Intelligence can work in partnership with clinicians
This educational talk was created on 9th December 2021. All information contained in this session was correct at the time of distribution.
Disclaimer: Appearing on the Medical Imaging Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.
Ratings and Reviews
Ellen M
Liked how the course was set out the flow of how the science and medicine are linked in order to help identify the abnormal from the normal tissue
Useful update and overview of AI based diagnostics. Easy to access.