AI Medical Compendium

BanglaVerb: A sentence-level dataset for transitivity classification in Bangla NLP.

Data in brief Feb 18, 2026

This article presents BanglaVerb, a systematically curated and linguistically validated sentence-level dataset designed to support transitivity classification in Bangla. The dataset contains 3001 Bangla sentences, each centered on a single verb insta... read more

A BEACON for Novel Disease Threats: Leveraging Artificial Intelligence for Informal Event-Based Outbreak Surveillance.

The Journal of infectious diseases Feb 18, 2026

Event-based surveillance systems have proven critical for early detection of disease outbreaks by analyzing informal data sources, and the integration of artificial intelligence (AI) offers new opportunities to enhance these capabilities at scale. We... read more

Advancing physical activity monitoring through bioimpedance measurement: a review.

Progress in biomedical engineering (Bristol, England) Feb 18, 2026

Bioimpedance measurements have gained significant attention due to their ability to assess body composition, muscle health, and internal physiological states without the need for intrusive procedures. This review paper explores the advancements and a... read more

Global research status in the treatment of glaucoma: a systematic bibliometric analysis.

International journal of ophthalmology Feb 18, 2026

AIM: To present an overview of the research on global glaucoma treatment in the last decade in terms of publication year, journals, countries/regions, organizations, references, and keywords, to investigate the current research international trends a... read more

Predicting Visual Outcomes in Congenital Posterior Lens Opacities: A Deep Learning Model Using Ultra-Widefield Fundus Images.

Ophthalmology science Feb 18, 2026

PURPOSE: To develop and validate a deep learning (DL) model for the automatic segmentation of lens opacity projected shadow (LOPS) on ultra-widefield (UWF) fundus images and to predict visual outcomes in children with congenital posterior lens opacit... read more

Integrating machine learning and SHAP analysis to identify the risk of cognitive frailty in older adults with chronic heart failure.

Journal of psychosomatic research Feb 18, 2026

BACKGROUND: Accurately identifying older adults with chronic heart failure (CHF) at high risk of cognitive frailty is crucial for timely preventive interventions, yet current approaches to detect this risk are under-researched. This study aimed to co... read more

KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC.

iScience Feb 18, 2026

Postoperative recurrence and metastasis in esophageal squamous cell carcinoma (ESCC) are closely associated with cancer stem cells (CSCs), though the heterogeneity and key molecular mechanisms underlying CSC-driven progression remain incompletely und... read more

Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning.

Ophthalmology science Feb 18, 2026

PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iERM) using interpretable machine learning models. DESIGN: Large data retrospective case-control study. SUBJECTS: All of Us Dataset, including a total o... read more

Feature-based morphological analysis of shape graph data

arXiv Feb 18, 2026

This paper introduces and demonstrates a computational pipeline for the statistical analysis of shape graph datasets, namely geometric networks embedded in 2D or 3D spaces. Unlike traditional abstract graphs, our purpose is not only to retrieve and d... read more

Machine Learning stat.AP stat.ML

On the Power of Source Screening for Learning Shared Feature Extractors