2024 heart disease and stroke statistics: a report of US and global data from the American Heart Association

SS Martin, AW Aday, ZI Almarzooq, CAM Anderson… - Circulation, 2024 - Am Heart Assoc
BACKGROUND: The American Heart Association (AHA), in conjunction with the National
Institutes of Health, annually reports the most up-to-date statistics related to heart disease …

Novel prediction equations for absolute risk assessment of total cardiovascular disease incorporating cardiovascular-kidney-metabolic health: a scientific statement …

SS Khan, J Coresh, MJ Pencina, CE Ndumele… - Circulation, 2023 - Am Heart Assoc
Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by
the American Heart Association in response to the high prevalence of metabolic and kidney …

CogDrisk, ANU-ADRI, CAIDE, and LIBRA risk scores for estimating dementia risk

MH Huque, S Kootar, R Eramudugolla… - JAMA Network …, 2023 - jamanetwork.com
Importance While the Australian National University–Alzheimer Disease Risk Index (ANU-
ADRI), Cardiovascular Risk Factors, Aging, and Dementia (CAIDE), and Lifestyle for Brain …

Mitigating the risk of artificial intelligence bias in cardiovascular care

A Mihan, A Pandey, HGC Van Spall - The Lancet Digital Health, 2024 - thelancet.com
Digital health technologies can generate data that can be used to train artificial intelligence
(AI) algorithms, which have been particularly transformative in cardiovascular health-care …

[HTML][HTML] Sex differences in diagnostic modalities of atherosclerosis in the macrocirculation

PLM Kerkhof, F Tona - Atherosclerosis, 2023 - Elsevier
Asymptomatic atherosclerosis begins early in life and may progress in a sex-specific manner
to become the major cause of cardiovascular morbidity and death. As diagnostic tools to …

Access to technology and digital literacy as determinants of health and health care

RJ Shaw - Creative Nursing, 2023 - journals.sagepub.com
Access to and the skills to use technology provide the digital equity necessary for civic and
cultural participation, employment, lifelong learning, and access to essential services …

Taking Off with AI: Lessons from Aviation for Healthcare

E Bondi-Kelly, T Hartvigsen, LM Sanneman… - Proceedings of the 3rd …, 2023 - dl.acm.org
Artificial intelligence (AI) stands to improve healthcare through innovative new systems
ranging from diagnosis aids to patient tools. However, such “Health AI” systems are …

Novel technologies in artificial intelligence and telemedicine for glaucoma screening

M Christopher, S Hallaj, A Jiravarnsirikul… - Journal of …, 2024 - journals.lww.com
Purpose: To provide an overview of novel technologies in telemedicine and artificial
intelligence (AI) approaches for cost-effective glaucoma screening. Methods/Results: A …

Clinical decision-making and algorithmic inequality

R Challen, L Danon - BMJ Quality & Safety, 2023 - qualitysafety.bmj.com
Decision support algorithms based on historical data will make recommendations that are
influenced by past inequality. Detailed historical health data contain patterns that identify …

Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance

C Hong, M Liu, DM Wojdyla, J Hickey… - Journal of Biomedical …, 2024 - Elsevier
Introduction: Risk prediction, including early disease detection, prevention, and intervention,
is essential to precision medicine. However, systematic bias in risk estimation caused by …