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Doctor Isaac Shiri

Bern University Hospital, Inselspital, Bern (Switzerland)
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Biography
As head of the Artificial Intelligence in Cardiovascular Medicine (AI-CVM) group and laboratory, Dr. I. Shiri, PhD, specializes in applying artificial intelligence to the clinical diagnosis and prognosis of cardiovascular disease. The AI-CVM Laboratory primarily focuses on cutting-edge research in machine learning (ML) and deep learning (DL) applications within cardiovascular medicine. The laboratory’s mission is to address a broad range of health-related questions through multimodal information analysis, leveraging diverse datasets that include text, signals, and medical images from various modalities.
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Contributor content

Imaging-based digital twin to guide interventions and outcomes
Presentation
Imaging-based digital twin to guide interventions and outcomes
Fully automated 3D body composition analysis in computed tomography: a prognostic imaging biomarker for outcomes after transcatheter aortic valve implantation
Presentation
Fully automated 3D body composition analysis in computed tomography: a prognostic imaging biomarker for outcomes after transcatheter aortic valve implantation
Discussion and Q&A
Presentation
Discussion and Q&A
Harnessing artificial intelligence in ATTR cardiomyopathy: current and future perspectives
Presentation
Harnessing artificial intelligence in ATTR cardiomyopathy: current and future perspectives
Fully automated detection of anomalous aortic origin of the coronary arteries in coronary CT images: a novel artificial intelligence-based screening tool
Presentation
Fully automated detection of anomalous aortic origin of the coronary arteries in coronary CT images: a novel artificial intelligence-based screening tool
Interpretable artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis
Presentation
Interpretable artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis
Multi-modal artificial intelligence-based prediction for cardiovascular mortality after transcatheter aortic valve implantation: a time-to-event survival prediction
Presentation
Multi-modal artificial intelligence-based prediction for cardiovascular mortality after transcatheter aortic valve implantation: a time-to-event survival prediction