AI Medical Compendium

Computer-Aided Detection-Assisted Colonoscopy Teaches Gaze to Improve Adenoma Detection in First-Year Gastroenterology Fellows.

JGH open : an open access journal of gastroenterology and hepatology Feb 26, 2026

BACKGROUND AND AIMS: The impact of computer-aided detection (CADe)-assisted colonoscopy on gastroenterology fellow trainees remains incompletely defined. In this study, adenoma detection rates (ADR) with and without CADe were assessed among gastroent... read more

Evaluation of artificial intelligence-based electrocardiogram analysis tools in patients with hypertrophic cardiomyopathy.

European heart journal. Digital health Feb 26, 2026

AIMS: Artificial intelligence (AI)-based electrocardiogram (ECG) analysis tools have shown promise in detecting various cardiac conditions. However, their performance in specific patient populations, such as those with hypertrophic cardiomyopathy (HC... read more

Advancing specific local wine identification through integration of ICP-MS mineral wine profiles and Machine Learning: A case study on discrimination among the ten Beaujolais crus.

Talanta Feb 26, 2026

The Beaujolais vineyard, located in France's Auvergne-Rhône-Alpes region, is internationally recognized for its geological diversity and the strong identity of its ten crus. Guaranteeing authenticity of these appellations is essential for producers a... read more

PH2ST: Prompt-guided hypergraph learning for spatial transcriptomics prediction in whole slide images.

Medical image analysis Feb 26, 2026

Spatial Transcriptomics (ST) reveals the spatial distribution of gene expression in tissues, offering critical insights into biological processes and disease mechanisms. However, the high cost, limited coverage, and technical complexity of current ST... read more

Machine-learning prediction of retardation factor and tailing propensity in thin-layer chromatography.

Journal of chromatography. A Feb 26, 2026

The development of thin-layer chromatography (TLC) methods has long relied on empirical trial-and-error, resulting in low efficiency. Although machine learning has been successfully applied to predict retardation factors (RF), a systematic approach f... read more

Identification of extracellular matrix stiffness-related genes in human scleral fibroblasts through bioinformatics analysis and machine learning.

Biochemical and biophysical research communications Feb 26, 2026

BACKGROUND: Scleral extracellular matrix (ECM) remodeling plays a key role in myopia development. This study aims to identify ECM stiffness-related genes in human scleral fibroblasts (HSFs) using RNA sequencing, bioinformatics analysis, and machine l... read more

[CefaleApp: A Mobile Application for Migraine Diagnosis in Primary Health Care].

Revista de neurologia Feb 26, 2026

INTRODUCTION: Headaches are the main reason for visits to Neurology clinics, and migraine is the most common primary headache. with migraine being the most frequent. Our objective was to develop a computer application (app) that could empower Primary... read more

Integrating Multimodal Neuroimaging and Physical-Health Markers for Autism Spectrum Disorder in the ABCD Study.

Journal of integrative neuroscience Feb 26, 2026

BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by diverse presentations, which complicates the identification of consistent biological markers. This study examined whether integrating multimodal neu... read more

Predicting aerobic granular sludge structural instability: An intelligent early-warning framework integrating convolutional neural network and fluorescence fingerprint features.

Journal of environmental management Feb 26, 2026

Aerobic granular sludge (AGS) was recognized as an innovative alternative superior to activated sludge processes, yet its development has been constrained by structural instability and the lack of early-warning methods for critical states. To address... read more

AATE-UNet automated assessment of inflammatory response in zebrafish larvae exposed to environmental risks.

Ecotoxicology and environmental safety Feb 26, 2026

In the evaluation of drugs/cosmetics toxicology/efficacy on livings, rapid assessment of inflammatory responses in zebrafish models is critical but hindered by labor-intensive manual neutrophil counting. To be addressed, this study developed the inno... read more

Artificial Intelligence Medical Compendium