ESC Premium Access

Making each contact count: enhancing the value of cardiac CT and MRI for detecting hidden disease and cardiovascular risk

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Professor Michelle Williams

University of Edinburgh, Edinburgh (United Kingdom of Great Britain & Northern Ireland)
10 presentations
0 follower

5 more presentations in this session

Artificial intelligence-powered discoveries to achieve precision in cardiovascular care

Speaker: Doctor R. Khera (New Haven, US)

Thumbnail

Enabling disease diagnosis at scale: deploying novel artificial intelligence in consumer devices for community cardiovascular screening

Speaker: Assistant Professor D. Adedinsewo (Jacksonville, US)

Thumbnail

Enhanced disease phenotyping and novel care signatures: arming routine clinical data to personalise care globally

Speaker: Professor A. Banerjee (London, GB)

Thumbnail

Laboratories of the present and care of the future: foundation models for multimodality data in the EHRs

Speaker: Professor D. Kotecha (Birmingham, GB)

Thumbnail

Implementation and regulation of artificial intelligence-enabled precision care solutions

Speaker: Professor B. Meder (Heidelberg, DE)

Thumbnail

Access the full session

Enhancing personalised cardiovascular care with artificial intelligence

Speakers: Professor M. Williams, Doctor R. Khera, Assistant Professor D. Adedinsewo, Professor A. Banerjee, Professor D. Kotecha...
Thumbnail

About the event

Image

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations