AI Medical Compendium

High-Performance Organic Photodetectors With Synergistic Trap-State Passivation and Interfacial Engineered ZnO Transport Layer for Deep-Learning-Enabled Pulse Monitoring.

Small (Weinheim an der Bergstrasse, Germany) Mar 18, 2026

Organic photodetectors (OPDs) are emerging as promising candidates for flexible and low-cost sensing applications, but their performance is often limited by trap-induced dark current and unstable interfacial energetics. Here, we systematically studie... read more

Graph Machine Learning Can Estimate Drug Concentrations in Whole Blood from Forensic Screening Results.

Analytical chemistry Mar 18, 2026

LC-HRMS is widely used in forensic toxicology for broad-scope screening. When a newly emerging or rarely encountered compound is tentatively identified, toxicologists must decide whether it may be relevant to a case and, if so, quantify it. However, ... read more

Development and Validation of a Machine Learning Model to Predict Oral Anticoagulant Use in Stroke From Prothrombin Time-International Normalized Ratio and Activated Partial Thromboplastin Time.

Journal of the American Heart Association Mar 18, 2026

BACKGROUND: Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available coagulation tests, prothrombin time-i... read more

Development and Validation of a Machine Learning Model for Incident Heart Failure Prediction in Chronic Kidney Disease: A Multicenter Cohort Study.

Journal of the American Heart Association Mar 18, 2026

BACKGROUND: Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, derived from the general population, exhibi... read more

Artificial intelligence and capsule endoscopy.

Revista espanola de enfermedades digestivas Mar 18, 2026

The advent of artificial intelligence (AI) is revolutionizing today's clinical practice, particularly in gastroenterology, where capsule endoscopy (CE) positions itself as one of the most impacted and benefited areas. Interpreting a video capsule end... read more

Keros-Net: a convolutional block attention module-squeeze-and-excitation-integrated hybrid learning framework for olfactory fossa depth classification.

Diagnostic and interventional radiology (Ankara, Turkey) Mar 18, 2026

PURPOSE: This study aimed to develop a hybrid decision support framework combining deep learning (DL) and machine learning (ML) to automatically classify olfactory fossa depth on paranasal computed tomography (CT) images according to the Keros classi... read more

Functional connectivity-based attractor dynamics of the human brain in rest, task, and disease.

eLife Mar 18, 2026

Functional brain connectivity has been instrumental in uncovering the large-scale organization of the brain and its relation to various behavioral and clinical phenotypes. Understanding how this functional architecture relates to the brain's dynamic ... read more

A Machine Learning-Based Clinical Tool for Predicting Inadequate Bowel Preparation: Development and Validation.

Clinical and translational gastroenterology Mar 18, 2026

OBJECTIVES: Colonoscopy is an essential tool for diagnosing and treating colorectal diseases, with bowel preparation serving as a key determinant of its quality. This study aimed to develop and validate a machine learning model utilizing non-pharmaco... read more

In Silico Analysis of Contaminant Persistence: From QSARs to Machine Learning Models.

Environmental science & technology Mar 18, 2026

For over six decades, in silico persistence modeling has evolved from intuitive, data-efficient quantitative structure-activity relationships (QSARs) for families of closely related chemicals to modern machine learning (ML) capable of handling hetero... read more

Predicting Adherence to Computer-Based Cognitive Training Programs Among Older Adults Using Source-Free Domain Adaptation: Algorithm Development and Validation.

JMIR aging Mar 18, 2026

BACKGROUND: Cognitive decline in the aging population presents an unprecedented challenge worldwide. Recent research has shown the potential of cognitive training programs to mitigate cognitive decline. However, these interventions require sustained ... read more

Artificial Intelligence Medical Compendium