The Lancet Commission to reduce the global burden of sudden cardiac death: a call for multidisciplinary action

E Marijon, K Narayanan, K Smith, S Barra, C Basso… - The Lancet, 2023 - thelancet.com
Despite major advancements in cardiovascular medicine, sudden cardiac death (SCD)
continues to be an enormous medical and societal challenge, claiming millions of lives …

[HTML][HTML] Putting ChatGPT's medical advice to the (Turing) test: survey study

O Nov, N Singh, D Mann - JMIR Medical Education, 2023 - mededu.jmir.org
Background Chatbots are being piloted to draft responses to patient questions, but patients'
ability to distinguish between provider and chatbot responses and patients' trust in chatbots' …

Current and future use of artificial intelligence in electrocardiography

M Martínez-Sellés, M Marina-Breysse - Journal of Cardiovascular …, 2023 - mdpi.com
Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

A Khunte, V Sangha, EK Oikonomou, LS Dhingra… - npj Digital …, 2023 - nature.com
Artificial intelligence (AI) can detect left ventricular systolic dysfunction (LVSD) from
electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but …

Adopting artificial intelligence in cardiovascular medicine: A scoping review

H Makimoto, T Kohro - Hypertension Research, 2024 - nature.com
Recent years have witnessed significant transformations in cardiovascular medicine, driven
by the rapid evolution of artificial intelligence (AI). This scoping review was conducted to …

Wearable biosensors in congenital heart disease: needs to advance the field

A Tandon, HH Nguyen, S Avula, DR Seshadri, A Patel… - JACC: Advances, 2023 - jacc.org
Traditional measures of clinical status and physiology have generally been based in health
care settings, episodic, short in duration, and performed at rest. Wearable biosensors …

Artificial intelligence electrocardiogram as a novel screening tool to detect a newly abnormal left ventricular ejection fraction after anthracycline-based cancer therapy

JEJ Jacobs, G Greason, KE Mangold… - European Journal of …, 2024 - academic.oup.com
Aims Cardiotoxicity is a serious side effect of anthracycline treatment, most commonly
manifesting as a reduction in left ventricular ejection fraction (EF). Early recognition and …

Biocompatible Electronic Skins for Cardiovascular Health Monitoring

Y Du, JH Kim, H Kong, AA Li, ML Jin… - Advanced …, 2024 - Wiley Online Library
Cardiovascular diseases represent a significant threat to the overall well‐being of the global
population. Continuous monitoring of vital signs related to cardiovascular health is essential …

Applying Artificial Intelligence for Phenotyping of Inherited Arrhythmia Syndromes

S Sigfstead, R Jiang, R Avram, B Davies… - Canadian Journal of …, 2024 - Elsevier
Inherited arrhythmia disorders account for a significant proportion of sudden cardiac death,
particularly among young individuals. Recent advances in our understanding of these …

Deep learning models for predicting left heart abnormalities from single-lead electrocardiogram for the development of wearable devices

M Sato, S Kodera, N Setoguchi, K Tanabe… - Circulation …, 2023 - jstage.jst.go.jp
Background: Left heart abnormalities are risk factors for heart failure. However,
echocardiography is not always available. Electrocardiograms (ECGs), which are now …