Speaker illustration

Doctor Isaac Shiri Lord

Bern University Hospital, Inselspital, Bern (Switzerland)

As a group leader of artificial intelligence in cardiovascular imaging and head of artificial intelligence in the cardiovascular imaging (AI-CVI) laboratory, Dr. I Shiri, PhD, has expertise in AI for the clinical diagnosis and prognosis of cardiovascular disease. The AI-CVI laboratory has developed various tools for analyzing different modalities to create diagnostic and prognostic tools. These tools consist of analyzing single and multi-modalities, including ECG, clinical data, and various tomography imaging techniques such as CT, MRI, PET, SPECT, and ultrasound. These tools enable automatic quantification, detection, and outcome prediction in cardiovascular imaging.

Fully automated detection of anomalous aortic origin of the coronary arteries in coronary CT images: a novel artificial intelligence-based screening tool

Event: ESC Congress 2024

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis

Thumbnail

Interpretable artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis

Event: ESC Congress 2024

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Artificial intelligence-powered cardiovascular risk assessment: machine learning for disease detection

Thumbnail

Multi-modal artificial intelligence-based prediction for cardiovascular mortality after transcatheter aortic valve implantation: a time-to-event survival prediction

Event: ESC Congress 2024

Topic: Aortic Valve Stenosis

Session: Young Investigator Award Session in Valvular Heart Disease

Thumbnail