Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: M. Turakhia Clear advanced filters
  • EchoNext, a deep learning model for electrocardiograms trained and validated in diverse health systems, successfully detects many forms of structural heart disease, supporting the potential of artificial intelligence to expand access to heart disease screening at scale.

    • Timothy J. Poterucha
    • Linyuan Jing
    • Pierre Elias
    ResearchOpen Access
    Nature
    Volume: 644, P: 221-230
  • In this Review, Narayan and colleagues discuss global disparities in access to digital health technologies, with a focus on cardiovascular medicine. The authors summarize the factors that affect access at various levels of society and present solutions that target each of these levels, culminating in a personalized framework to improve access to digital health technologies.

    • Sanjiv M. Narayan
    • Mina K. Chung
    • Antonis A. Armoundas
    Reviews
    Nature Reviews Cardiology
    Volume: 23, P: 9-22
  • Advances in cardiovascular monitoring technologies have resulted in an influx of consumer-targeted wearable sensors that have the potential to detect numerous heart conditions. In this Review, Krittanawong and colleagues describe processes involved in biosignal acquisition and analysis of cardiovascular monitors, as well as their associated ethical, regulatory and legal challenges.

    • Chayakrit Krittanawong
    • Albert J. Rogers
    • Sanjiv M. Narayan
    Reviews
    Nature Reviews Cardiology
    Volume: 18, P: 75-91
  • Sridhar et al. review the opportunities that mobile health technologies offer to improve the care of patients with cardiac arrhythmias. The current status, challenges, and future opportunities to use these technologies to predict, screen, diagnose, and manage of cardiac arrhythmias are highlighted.

    • Arun R. Sridhar
    • Jim W. Cheung
    • Dhanunjaya Lakkireddy
    ReviewsOpen Access
    Communications Medicine
    Volume: 4, P: 1-14
    • O. T. Inan
    • P. Tenaerts
    • R. M. Califf
    ReviewsOpen Access
    npj Digital Medicine
    Volume: 3, P: 1-7