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EchoRisk dataset launched for early cardiotoxicity prediction in cancer patients

By PulseAugur Editorial · [1 sources] ·

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]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

EchoRisk dataset launched for early cardiotoxicity prediction in cancer patients

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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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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology

    Therapy-induced cardiotoxicity is the leading non-oncological cause of treatment interruption in breast cancer patients, yet early, automated risk stratification from routine cardiac imaging remains an unsolved problem. We present EchoRisk, the first curated, multicentre, longitu…

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