Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Scientific Research Publishing

De-Risking Returns: How AI Can Reinvent Big Tech’s China-Tied Reverse Supply Chains ()

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
CCN on MSN

Jim Cramer is 100% bearish on Bitcoin: His calls from 2021–2025 and what Bitcoin did next

Third-party sentiment trackers officially labeled Jim Cramer as "100% bearish" on Christmas Eve 2025. Despite Cramer's grim ...
Open Heart

Sex differences in the association of social determinants of health and adverse cardiovascular outcomes in patients with atrial fibrillation

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...
BMJ Open

Clinical characteristics and outcomes of patients with type 2 diabetes mellitus and chronic kidney disease from two new-user medication cohorts: a retrospective cohort study ...

Objectives Given the rapidly evolving therapeutic landscape for type 2 diabetes (T2D) and chronic kidney disease (CKD), this study aimed to characterise the clinical profiles and real-world outcomes ...