Journal of the American College of Cardiology · 2024
Artificial Intelligence in Cardiovascular Clinical Trials.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
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Cunningham Jonathan W, Abraham William T, Bhatt Ankeet S, Dunn Jessilyn, Felker G Michael, Jain Sneha S, Lindsell Christopher J, Mace Matthew, Martyn Trejeeve, Shah Rashmee U, Tison Geoffrey H, Fakhouri Tala, Psotka Mitchell A, Krumholz Harlan, Fiuzat Mona, O'Connor Christopher M, Solomon Scott D, Heart Failure Collaboratory
Аннотация
Randomized clinical trials are the gold standard for establishing the efficacy and safety of cardiovascular therapies. However, current pivotal trials are expensive, lengthy, and insufficiently diverse. Emerging artificial intelligence (AI) technologies can potentially automate and streamline clinical trial operations. This review describes opportunities to integrate AI throughout a trial's life cycle, including designing the trial, identifying eligible patients, obtaining informed consent, ascertaining physiological and clinical event outcomes, interpreting imaging, and analyzing or disseminating the results. Nevertheless, AI poses risks, including generating inaccurate results, amplifying biases against underrepresented groups, and violating patient privacy. Medical journals and regulators are developing new frameworks to evaluate AI research tools and the data they generate. Given the high-stakes role of randomized trials in medical decision making, AI must be integrated carefully and transparently to protect the validity of trial results.