Computer Methods and Programs in Biomedicine · 2024 · 10 citations · 20 references
this paper introduces a novel multi-view and multi-scale model for aortic stenosis recognition, as well as three benchmarks to evaluate it, effectively providing multi-view and single-view comparisons that fully highlight the model's effectiveness in aiding clinicians in performing diagnoses while also producing several baselines for the aortic stenosis recognition task.
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DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 73.5K citations · Full text
Video-based AI for beat-to-beat assessment of cardiac function
David Ouyang, Bryan He, Amirata Ghorbani et al. · Nature · 2020 · 939 citations · Full text
Artificial Intelligence, Electrophysiological Evaluation, Heart Failure +6
Outcomes of Patients With Asymptomatic Aortic Stenosis Followed Up in Heart Valve Clinics
Patrizio Lancellotti, Julien Magné, Raluca Dulgheru et al. · JAMA Cardiology · 2018 · 256 citations · Full text