Association between Modified Cardiometabolic Index and Incident Cardiovascular Disease in Middle-Aged and Elderly Chinese ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

LAS VEGAS—The American Heart Association is launching an AI Assessment Lab in partnership with Dandelion Health to validate predictive AI for cardiovascular conditions and related diseases. The group ...

During a median follow-up of 9.0 years (IQR, 6.6-10.9), IBTR occurred in 320 patients (3.6%). The initial model, based on variables from Sanghani et al, achieved a Harrell's C-index of 0.74.

Objectives Alzheimer’s disease (AD) poses a significant challenge for individuals aged 65 and older, being the most prevalent form of dementia. Although existing AD risk prediction tools demonstrate ...

Individuals who have experienced a recent fall or are having difficulty with balance may receive a fall risk assessment from a healthcare professional. Medicare covers these assessments during ...

According to a report from NPR, Meta plans to shift the task of assessing its products' potential harms away from human reviewers, instead leaning more heavily on AI to speed up the process. Internal ...

Introduction: Acute respiratory infections (ARIs) represent a significant threat to global public health, particularly among older adults residing in long-term care facilities (LTCFs), where ...

Ratings agency Moody’s and index creator MSCI, whose tools support investment decisions, have agreed to set up a risk-assessment methodology for investors to gauge private-credit risks. The initiative ...