AI Medical Compendium

Time Series, Vision, and Language: Exploring the Limits of Alignment in Contrastive Representation Spaces

arXiv Feb 22, 2026

The Platonic Representation Hypothesis posits that learned representations from models trained on different modalities converge to a shared latent structure of the world. However, this hypothesis has largely been examined in vision and language, and ... read more

Artificial Intelligence cs.CV

Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

arXiv Feb 22, 2026

Temporal stability in glottic opening localization remains challenging due to the complementary weaknesses of single-frame detectors and foundation-model trackers: the former lacks temporal context, while the latter suffers from memory drift. Specifi... read more

Computer Vision and Pattern Recognition

Systematic correction of core-loss spectra via machine learning: bridging the gap between simulated and experimental spectra.

Ultramicroscopy Feb 21, 2026

Core-loss spectroscopy, including Energy Loss Near Edge Structures (ELNES) and X-ray Absorption Near Edge Structures (XANES), is a vital tool for materials characterization. However, its full potential is often hindered by the limited accuracy of com... read more

Multi-relational knowledge graph for drug-drug interaction prediction via dual aggregation and collaborative optimization.

Bioorganic chemistry Feb 21, 2026

Identifying potential drug-drug interactions is crucial in clinical care and new drug development, as mutual interference between drugs can lead to adverse reactions. Recently, computational methods have been widely employed for predicting DDIs. Howe... read more

MRI-based deep learning and radiomics for preoperative prediction of P53abn endometrial cancer: A multicenter study.

European journal of radiology Feb 21, 2026

PURPOSE: To develop and validate a non-invasive magnetic resonance imaging (MRI)-based deep learning and radiomics approach for the preoperative differentiation of p53 abnormal (P53abn) endometrial cancer, facilitating refined risk stratification for... read more

Multivariate feature analysis of early-stage laryngeal cancer serum components using surface-enhanced Raman spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 21, 2026

Laryngeal cancer is a common head-and-neck malignant tumor with geographically variable incidence. Its lack of specific early clinical symptoms often causes missed diagnosis, leading to most cases being identified at intermediate/advanced stages and ... read more

Near-infrared spectral generation and regression modeling with a hybrid CVAE-1D-CNN framework: application to soil organic matter estimation.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 21, 2026

BACKGROUND: Near-infrared (NIR) spectroscopy combined with chemometric modeling is a widely used rapid and non-destructive analytical technique, showing promise in estimating soil organic matter (SOM). However, acquiring a sufficient number of experi... read more

Principles, performance and emerging trends for optical detection of environmental microplastics: A review.

Talanta Feb 21, 2026

Microplastics (MPs), as emerging contaminants, originate from diverse sources and accumulate across various environmental media, posing potential risks to both ecosystems and human health. Optical detection techniques have emerged as a primary and ef... read more

Accuracy and completeness of large language models in Epidemic keratoconjunctivitis Queries: A Comparative study.

International journal of medical informatics Feb 21, 2026

BACKGROUND: Large language models (LLMs) are increasingly applied in clinical contexts, yet their reliability in disease-specific ophthalmic domains remains insufficiently characterized. Epidemic keratoconjunctivitis (EKC), a highly contagious adenov... read more

InfoCAM: An information-weighted class activation mapping for explaining visual neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 21, 2026

With the rapid advancement of deep learning technologies, visual neural networks have made significant progress across various benchmarks. However, these networks heavily rely on nonlinear functions and hyperparameter tuning techniques, which leads t... read more

Artificial Intelligence Medical Compendium