[HTML][HTML] Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and
standardized test, is an example of the ongoing transformative effect of AI on cardiovascular …
standardized test, is an example of the ongoing transformative effect of AI on cardiovascular …
How to use digital devices to detect and manage arrhythmias: an EHRA practical guide
The recent advances in technology combined with the need to manage patients remotely
during the coronavirus disease-19 (COVID-19) pandemic, have led to a rapid adaptation of …
during the coronavirus disease-19 (COVID-19) pandemic, have led to a rapid adaptation of …
[HTML][HTML] Ethics and governance of trustworthy medical artificial intelligence
J Zhang, Z Zhang - BMC medical informatics and decision making, 2023 - Springer
Background The growing application of artificial intelligence (AI) in healthcare has brought
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …
Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial
We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram
(ECG)-based, artificial intelligence (AI)-powered clinical decision support tool enables early …
(ECG)-based, artificial intelligence (AI)-powered clinical decision support tool enables early …
Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction
Although artificial intelligence (AI) algorithms have been shown to be capable of identifying
cardiac dysfunction, defined as ejection fraction (EF)≤ 40%, from 12-lead …
cardiac dysfunction, defined as ejection fraction (EF)≤ 40%, from 12-lead …
Artificial intelligence-powered electronic skin
Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …
and non-invasive tracking of physiological and biochemical information. With the rise of big …
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome …
Background Atrial fibrillation is frequently asymptomatic and thus underdetected but is
associated with stroke, heart failure, and death. Existing screening methods require …
associated with stroke, heart failure, and death. Existing screening methods require …
The recent progress and applications of digital technologies in healthcare: a review
M Senbekov, T Saliev, Z Bukeyeva… - … of telemedicine and …, 2020 - Wiley Online Library
Background. The implementation of medical digital technologies can provide better
accessibility and flexibility of healthcare for the public. It encompasses the availability of …
accessibility and flexibility of healthcare for the public. It encompasses the availability of …
Application of artificial intelligence to the electrocardiogram
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them
super-human diagnostic abilities. Trained without hard-coded rules by finding often …
super-human diagnostic abilities. Trained without hard-coded rules by finding often …
[HTML][HTML] Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …