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AI predicts heart surgery mortality from chest X-rays

By PulseAugur Editorial · [1 sources] ·

A new study published in the European Heart Journal - Digital Health demonstrates that a deep learning model can predict mortality risk following heart procedures using preoperative chest radiographs. This AI-derived biological age metric shows improved 30-day mortality prediction, particularly for Transcatheter Aortic Valve Implantation (TAVI) patients, outperforming the existing EuroSCORE II risk assessment tool. AI

IMPACT This research suggests AI can enhance diagnostic capabilities in cardiology, potentially leading to more accurate risk stratification for patients undergoing heart procedures.

RANK_REASON Research paper published in a scientific journal detailing a new application of deep learning for medical prediction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

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

AI predicts heart surgery mortality from chest X-rays

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Research paper published in a scientific journal detailing a new application of deep learning for medical prediction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    "Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural hear

    "Deep learning-derived biological age from preoperative chest radiographs predicts mortality following surgical and transcatheter procedures for structural heart disease beyond EuroSCORE II" reports improved 30-day mortality prediction, especially in TAVI. # AI # Radiology # Card…

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