[HTML][HTML] Machine learning in precision diabetes care and cardiovascular risk prediction

EK Oikonomou, R Khera - Cardiovascular Diabetology, 2023 - Springer
Artificial intelligence and machine learning are driving a paradigm shift in medicine,
promising data-driven, personalized solutions for managing diabetes and the excess …

The potential of wearable sweat sensors in heart failure management

N Brasier, O Frobert, F De Ieso, D Meyer… - Nature …, 2024 - nature.com
The potential of wearable sweat sensors in heart failure management | Nature Electronics Skip
to main content Thank you for visiting nature.com. You are using a browser version with limited …

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice: JACC State-of-the-Art Review

R Khera, EK Oikonomou, GN Nadkarni… - Journal of the American …, 2024 - jacc.org
Artificial intelligence (AI) has the potential to transform every facet of cardiovascular practice
and research. The exponential rise in technology powered by AI is defining new frontiers in …

Inclusive health tracking: unlock the true potential of digital health solutions

MJ Schuuring, JP Man, SAJ Chamuleau - JACC: Advances, 2023 - jacc.org
Smart devices such as smartphones and smartwatches are increasingly used for digital
health solutions to manage diseases and track health goals. 1 The expansion of digital …

Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health

R Khera - European Heart Journal, 2024 - academic.oup.com
Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health Page
1 Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health …

[HTML][HTML] Users' Expectations of Smart Devices during Physical Activity—A Literature Review

K Tóth, P Takács, I Balatoni - Applied Sciences, 2024 - mdpi.com
Background: The field of smart devices and physical activity is evolving rapidly, with a wide
range of devices measuring a wide range of parameters. Scientific articles look at very …

Artificial intelligence-enhanced patient evaluation: bridging art and science

EK Oikonomou, R Khera - European Heart Journal, 2024 - academic.oup.com
The advent of digital health and artificial intelligence (AI) has promised to revolutionize
clinical care, but real-world patient evaluation has yet to witness transformative changes. As …

Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Electrocardiographic Signals: A Multinational Assessment

LS Dhingra, A Aminorroaya, A Pedroso Camargos… - medRxiv, 2024 - medrxiv.org
Importance: Despite the availability of disease-modifying therapies, scalable strategies for
heart failure (HF) risk stratification remain elusive. Portable devices capable of recording …

[HTML][HTML] Study Protocol for the Artificial Intelligence-Driven Evaluation of Structural Heart Diseases Using Wearable Electrocardiogram (ID-SHD)

A Aminorroaya, LS Dhingra, AP Camargos… - medRxiv, 2024 - ncbi.nlm.nih.gov
Introduction: Portable devices capable of electrocardiogram (ECG) acquisition have the
potential to enhance structural heart disease (SHD) management by enabling early …