Researchers have introduced EchoRisk, a novel dataset and benchmark designed to advance the automated risk stratification of cardiotoxicity induced by cancer therapies. This multicenter dataset, derived from the EU-funded CARDIOCARE study, includes over 2,000 echocardiography videos from 422 patients across five European sites, with explicit labels for cardiotoxicity. The dataset supports three defined tasks: automated ejection fraction estimation, left ventricular dysfunction classification, and early prediction of cardiotoxicity from baseline imaging, aiming to spur further research in cardio-oncology. AI
IMPACT This dataset aims to improve early detection of therapy-induced cardiotoxicity, potentially enabling more personalized cancer treatment plans.
RANK_REASON The item describes a new dataset and benchmark for a specific medical research area. [lever_c_demoted from research: ic=1 ai=0.4]
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