ESC 365 - ValveVision AI - a multimodal language model for qualitative reporting of the aortic valve in echocardiography

Back

ESC Premium Access

ValveVision AI - a multimodal language model for qualitative reporting of the aortic valve in echocardiography

Session: Deep learning and artificial intelligence to transform cardiovascular health

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor A. Gupta (Los Angeles, US)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Aakriti Gupta

Cedars-Sinai Smidt Heart Institute, Los Angeles (United States of America)

1 presentation

0 follower

8 more presentations in this session

Identifying heart failure dynamics using multi-point electrocardiograms and deep learning

Speaker: Doctor Y. Nishihara (Kobe, JP)

The added value of deep learning to submaximal exercise electrocardiogram for the 10-year prediction of major adverse cardiovascular and cerebrovascular events

Speaker: Mr A. Sturge (Oxford, GB)

Siamese neural networks can identify subjects from anonymised ECGs

Speaker: Mr K. Macierzanka (London, GB)

Predicting the severity of valvular heart diseases using ai integrated with ECG and anthropometric data

Speaker: Doctor M. Nakayama (Tokyo, JP)

Machine learning for prediction of all-cause mortality in acute coronary syndrome

Speaker: Doctor A. Zaka (Southport, AU)

Access the full session

Deep learning and artificial intelligence to transform cardiovascular health

Speakers: Doctor A. Gupta, Doctor Y. Nishihara, Mr A. Sturge, Mr K. Macierzanka, Doctor M. Nakayama...

Access

About the event

ESC Congress 2024

30 August - 2 September 2024

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources