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 …

Cardiovascular care innovation through data-driven discoveries in the electronic health record

LS Dhingra, M Shen, A Mangla, R Khera - The American Journal of …, 2023 - Elsevier
The electronic health record (EHR) represents a rich source of patient information,
increasingly being leveraged for cardiovascular research. Although its primary use remains …

Shaping the future of cardiac wellness: exploring revolutionary approaches in disease management and prevention

TA Addissouky, IET El Sayed, MMA Ali… - Journal of Clinical …, 2024 - scientificarchives.com
Cardiovascular diseases (CVDs) remain a leading cause of morbidity and mortality
worldwide. Effective prevention and management strategies are essential to reduce the …

Assessment of ownership of smart devices and the acceptability of digital health data sharing

MMH Shandhi, K Singh, N Janson, P Ashar… - NPJ Digital …, 2024 - nature.com
Smart portable devices-smartphones and smartwatches-are rapidly being adopted by the
general population, which has brought forward an opportunity to use the large volumes of …

Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program

NS Zheng, J Annis, H Master, L Han, K Gleichauf… - Nature Medicine, 2024 - nature.com
Poor sleep health is associated with increased all-cause mortality and incidence of many
chronic conditions. Previous studies have relied on cross-sectional and self-reported survey …

Use of human-centered design methodology to develop a digital toolkit to optimize heart failure guideline-directed medical therapy

EM Spaulding, N Isakadze, N Molello… - Journal of …, 2023 - journals.lww.com
Background Guideline-directed medical therapies (GDMTs) improve quality of life and
health outcomes for patients with heart failure (HF). However, GDMT utilization is suboptimal …

[HTML][HTML] Association of Smartwatch-Based Heart Rate and Physical Activity With Cardiorespiratory Fitness Measures in the Community: Cohort Study

Y Zhang, X Wang, CH Pathiravasan… - Journal of Medical …, 2024 - jmir.org
Background Resting heart rate (HR) and routine physical activity are associated with
cardiorespiratory fitness levels. Commercial smartwatches permit remote HR monitoring and …

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 …

Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association

AA Armoundas, FS Ahmad, DA Bennett… - Circulation: Genomic …, 2024 - Am Heart Assoc
Wearable devices are increasingly used by a growing portion of the population to track
health and illnesses. The data emerging from these devices can potentially transform health …

Emerging role of mobile applications and wearable devices for prehabilitation in urologic oncology

H Hunter, N Bennington-McKay, J Sher… - European Urology …, 2023 - Elsevier
Abstract Treatment for urologic cancers often includes major oncologic procedures and
surgeries with a risk of complications, especially in older and frail patients. The aim of …