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

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 ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...

There is often a disconnect between the intended functionality of an artificial intelligence model and its actual functionality once it's integrated into healthcare workflows. Epic has developed an ...

CU Boulder researchers apply machine learning to snow hydrology in Colorado mountain drainage basins, finding a new way to accurately predict the availability of water Determining how much water is ...

Department of Pharmacy, The second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, China Objective: To construct a risk prediction model for potentially inappropriate ...

1 School of Basic Medical Sciences, North Henan Medical University, Xinxiang, China 2 Department of Medical Laboratory, Henan Provincial Chest Hospital, Zhengzhou, China Objective: We developed and ...