Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 50,631 to 50,640 of 225,062 articles

Incorporating Coulomb interactions with fixed charges in moment tensor potentials and equivariant tensor network potentials.

The Journal of chemical physics Feb 14, 2026
In this work, we incorporate long-range electrostatic interactions in the form of the Coulomb model with fixed charges into the functional form of short-range machine-learning interatomic potentials (MLIPs), particularly in the moment tensor potentia... read more 

The emerging role of machine learning-based methods in cancer classification using microRNA.

Biochemistry and biophysics reports Feb 14, 2026
Early detection and accurate classification of cancer are crucial to improving patient outcomes. Diagnosis and classification of tumors using conventional methods remains challenging. MicroRNAs (miRNAs) are potential biomarkers for accurate tumor cla... read more 

A novel few-shot meta-learning strategy for fault diagnosis of wastewater treatment process.

ISA transactions Feb 14, 2026
Challenges in diagnosing faults in wastewater treatment processes (WWTPs) arise from the limited availability of fault samples and the complexity of multidimensional time-series data with low information density. Current deep learning methods predomi... read more 

Carbon dots from Manila tamarind for heavy metal ion removal and sensing through automatic classification.

iScience Feb 14, 2026
Environmental remediation research has been focused on the detection and removal of heavy metal ions. In this work, Manila tamarind-derived simple and sustainable carbon dots (CDs) have been proposed for the optical detection/removal of heavy metal i... read more 

Artificial intelligence in combating challenges in antimicrobial resistance: a narrative review.

Infection prevention in practice Feb 14, 2026
Antimicrobial resistance (AMR) is a major global health challenge that threatens the effective prevention and treatment of infections. It arises from increasing resistance rates, limited diagnostic capacity, inappropriate antimicrobial use, and a dec... read more 

Generating Biologically Relevant Subtypes of Autism Spectrum Disorder with differential responses to Acute Oxytocin Administration in a Randomized Trial using Random Forest Models and K-means Clustering

medRxiv Feb 14, 2026
Autism Spectrum Disorder (ASD) is a heterogenous condition that has no biologically relevant subtypes yet. Here, we utilized a multidimensional approach considering social deficits in ASD alongside negative valence and empathy dysfunction to distingu... read more 
psychiatry and clinical psychology

Automated Coronary Artery Disease Detection Using a CNN Model with Temporal Attention

medRxiv Feb 14, 2026
Coronary Artery Disease (CAD) is a leading cause of cardiovascular-related mortality and affects 20.5 million people in the United States and approximately 315 million people worldwide in 2022. The asymptomatic and progressive nature of CAD presents ... read more 
cardiovascular medicine

Detection-Guided Artifact Removal for Clinical EEG: A Deep Learning Framework

medRxiv Feb 14, 2026
Objective: We developed and validated a detection-guided artifact removal framework for clinical electroencephalography (EEG). The framework applies artifact correction only to the contaminated segments and preserves artifact-free data without modifi... read more 
neurology

Boards-style benchmarks overestimate prior-chat bias in large language models: a factorial evaluation study

medRxiv Feb 14, 2026
Background: Large language models (LLMs) are increasingly piloted as chat interfaces for chart review and clinical decision support. Although leading models achieve and even exceed physician-level accuracy on exam-style benchmarks such as MedQA, rece... read more 
health informatics

Clinical validation of automated and multiple manual callosal angle measurement methods in idiopathic normal pressure hydrocephalus

medRxiv Feb 14, 2026
Introduction Idiopathic normal pressure hydrocephalus (iNPH) is a partially reversible neurological disorder in which imaging biomarkers support diagnosis and surgical decision-making. The callosal angle (CA) is one of the most robust radiological ma... read more 
radiology and imaging
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