Primary Care

Smartphone App Using Reinforcement Learning for Obesity: Single-Arm Feasibility Study.

BACKGROUND: While behavioral interventions remain an evidence-based treatment for obesity, they ofte...

Exploring stress and coping among black women in early midlife with elevated blood pressure in a safety-net health system: a qualitative focus group protocol.

INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevat...

Present state and future of screening for atrial fibrillation: a state-of-the-art review.

Atrial fibrillation (AF) is the most common arrhythmia and is a leading cause of stroke and heart fa...

Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset.

OBJECTIVES: Predicting mortality is vital for tailoring treatments, improving care and reducing cost...

A device-invariant multi-modal learning framework for respiratory disease classification.

Recent advances in cough sound analysis using deep learning techniques enable smartphone-based respi...

Explainable deep learning framework incorporating medical knowledge for insulin titration in diabetes.

BACKGROUND: Deep learning has shown promise in diabetes management but faces challenges in real-worl...

Decoding cardiovascular risk in Chinese middle-aged and elderly adults: a 9-year prospective study integrating machine learning with explainable AI based on CHARLS cohort.

BACKGROUND: Cardiovascular disease constitutes the most formidable public health challenge in China,...

Interpretable machine learning for chronic kidney disease prediction: Insights from SHAP and LIME analyses.

Chronic kidney disease (CKD) is a progressive condition requiring early detection for optimal patien...

Assessing the completeness of reporting in imaging studies using artificial neural network models for cancer diagnosis: Adherence to the TRIPOD-AI guideline.

BACKGROUND: Developments in artificial neural networks (ANNs) offer significant promise for cancer s...

Cardiovascular Science, Medicine, and Society: The Brave New World: The ACC Braunwald Lecture 2025.

Recent scientific and technological advances have dramatically expanded the possibilities in cardiov...

External Validation of an AI-Based Colonoscopy Quality Assessment Tool in Japanese Clinical Practice: A Pilot Study.

BACKGROUND: While AI-assisted polyp detection has advanced significantly, comprehensive AI-based col...

Technical Aspects and Clinical Relevance of Cuffless Devices for Blood Pressure Measurement. A Scientific Statement of the ESC Working Group on e-Cardiology, the ESC Council on Hypertension, and the European Association of Preventive Cardiology of the ESC.

Cuffless blood pressure (BP) monitoring devices represent a promising innovation in hypertension man...

Teleophthalmology Programs in Underserved Communities in the United States: A Narrative Review.

Underserved communities in the United States continue to face substantial barriers to accessing eye ...

Reducing Educational Bias in Cognitive Assessment via Dynamic Support Vector Machine Weighting: Validation Study on an Education-Stratified Dataset.

BACKGROUND: The Mini-Mental State Examination (MMSE) remains widely used for cognitive screening, ye...

A neuroimaging functional connectivity signature of emotional conflict monitoring predicting cognitive decline in type 2 diabetes.

Type 2 diabetes (T2D) is associated with cognitive decline and neurodegenerative disorders. Changes ...

GlucoseGo: a simple tool to predict hypoglycaemia during exercise in type 1 diabetes.

AIMS/HYPOTHESIS: This study aimed to develop an accessible tool, derived using machine learning, to ...

Integrating trust into artificial intelligence for medicine: using diabetes as the exemplar disease.

Retinal BioAge is associated with indicators of cardiovascular-kidney-metabolic syndrome in UK and US populations.

Accelerated biological aging, as well as cardiovascular, kidney, and metabolic (CKM) diseases, contr...

Integrated virtual screening, machine learning and molecular dynamics identify novel phytochemical FabI inhibitors against MRSA.

Methicillin-resistant Staphylococcus aureus (MRSA) infections pose a critical global health threat, ...

EASDnet: Empowering human-centered evidence-based medicine through an evidence and attention-based spatial disparity network for discriminative colorectal cancer histopathological screening and attribution.

PURPOSE: Accurate preoperative staging of colorectal cancer is critical to guide treatment decisions...

Screening for Breast Cancer: Imaging Updates.

This article provides a comprehensive overview of breast cancer screening guidelines and the evolvin...