AI and Personal Digital Health Tools DOI
Hawkins Gay, Rod Passman

JACC. Clinical electrophysiology, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Язык: Английский

Chronological vs Biological Aging DOI
Valentı́n Fuster

Journal of the American College of Cardiology, Год журнала: 2024, Номер 83(16), С. 1614 - 1618

Опубликована: Апрель 1, 2024

Язык: Английский

Процитировано

4
AI-ECG and prediction of new atrial fibrillation: when the heart tells the age DOI Creative Commons
Antônio H. Ribeiro, Antônio Luiz Pinho Ribeiro

European Heart Journal, Год журнала: 2024, Номер unknown

Опубликована: Дек. 9, 2024

Graphical AbstractValidation pathway for AI-ECG age as a novel risk marker new atrial fibrillation: progress and next steps.Open in tabDownload slide

Язык: Английский

Процитировано

4
Artificial intelligence estimated electrocardiographic age as a recurrence predictor after atrial fibrillation catheter ablation DOI Creative Commons
Hanjin Park, Oh‐Seok Kwon, Jaemin Shim

и другие.

npj Digital Medicine, Год журнала: 2024, Номер 7(1)

Опубликована: Сен. 5, 2024

Язык: Английский

Процитировано

1
Artificial Intelligence in Pediatric Electrocardiography: A Comprehensive Review DOI Creative Commons
David M. Leone, Donnchadh O’Sullivan,

Katia Bravo Jaimes

и другие.

Children, Год журнала: 2024, Номер 12(1), С. 25 - 25

Опубликована: Дек. 27, 2024

Artificial intelligence (AI) is revolutionizing healthcare by offering innovative solutions for diagnosis, treatment, and patient management. Only recently has the field of pediatric cardiology begun to explore use deep learning methods analyze electrocardiogram (ECG) data, aiming enhance diagnostic accuracy, expedite workflows, improve outcomes. This review examines current state AI-enhanced ECG interpretation in applications, drawing insights from adult AI-ECG research given progress this field. It describes a broad range AI methodologies, investigates unique challenges inherent analysis, reviews literature AI-ECG, discusses potential future directions clinical practice. While applications have demonstrated considerable promise, widespread adoption necessitates further research, rigorous validation, careful consideration equity, ethical, legal, practical challenges.

Язык: Английский

Процитировано

1
Halstead's studies in the neuropsychology of aging DOI

Pat W. Merryman,

Barry W. Brown,

Eduard Schludermann

и другие.

Archives of Gerontology and Geriatrics, Год журнала: 1983, Номер 2(1-2), С. 49 - 177

Опубликована: Июль 1, 1983

Язык: Английский

Процитировано

19
AI and Personal Digital Health Tools DOI
Hawkins Gay, Rod Passman

JACC. Clinical electrophysiology, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

0