AI Medical Compendium

Benchmarking spectroscopic-chemometric models for human bloodstain time since deposition in tropical outdoor microenvironments.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 26, 2026

Reliable estimation of the time since deposition (TSD) of bloodstains remains a key challenge in forensic reconstruction, particularly under realistic outdoor conditions. This study benchmarks visible (Vis) reflectance, attenuated total reflectance-F... read more

From experimental design to data-driven prediction: Modeling the stiffness tunability of freeze-thaw PVA-based hydrogels.

Journal of the mechanical behavior of biomedical materials Feb 26, 2026

Mechanically tunable biomaterials play a pivotal role in advanced in vitro modeling platforms because they can be modulated to mimic targeted extracellular matrix (ECM) viscoelastic properties. Specifically, biocompatible hydrogels offer an adaptable... read more

Artificial intelligence in nursing education: A scoping review of intelligent tutoring systems-evidence and implementation gaps.

Nurse education today Feb 26, 2026

BACKGROUND: The concept of ITSs is widely implemented across educational settings, but their adoption in nursing education remains poorly understood. OBJECTIVES: To investigate the current state of evidence on ITS in nursing education, identify resea... read more

Robust fine-grained echocardiographic view classification with supervised contrastive learning.

Medical image analysis Feb 26, 2026

Accurate classification of echocardiographic views is fundamental for automated cardiac analysis. However, clinical practice relies on a large, heterogeneous set of fine-grained acquisitions that introduce substantial inter-observer variability. Exis... read more

Enhancing the efficacy of Salvia miltiorrhiza and Ligusticum chuanxiong in the treatment of coronary heart disease: The value of poorly soluble components and nanocrystal self-stabilized solid emulsions.

Phytomedicine : international journal of phytotherapy and phytopharmacology Feb 26, 2026

BACKGROUND: The Salvia miltiorrhiza-Ligusticum chuanxiong herb pair is a classic combination in traditional Chinese medicine (TCM) formulation for coronary heart disease (CHD). However, currently marketed preparations primarily retain water-soluble c... read more

Preoperative identification of deep myometrial invasion in endometrial cancer: a multicenter MRI study with a vision foundation model-enhanced multimodal deep learning framework.

European journal of obstetrics, gynecology, and reproductive biology Feb 26, 2026

OBJECTIVE: To develop and validate a Vision Foundation Model-enhanced Multimodal Deep Learning Radiomics (VFM-MDLR) framework that integrates MR imaging with clinicopathological information for noninvasive prediction of deep myometrial invasion (DMI)... read more

A survey of recent advances in adversarial attack and defense on vision-language models.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2026

In the rapidly advancing domain of artificial intelligence, Vision-Language Models (VLMs) have emerged as critical tools by synergizing visual and textual data processing to facilitate a multitude of applications including automated image captioning,... read more

A Multi-Agent Continual reinforcement learning framework with multi-Timescale replay and dynamic task classification.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2026

This paper proposes an innovative Multi-Agent Continual Reinforcement Learning (MACRL) framework to address the challenges of continual learning in dynamic multi-agent systems. Traditional reinforcement learning suffers from catastrophic forgetting a... read more

Enhancing feature fusion of U-like networks with dynamic skip connections.

Medical image analysis Feb 26, 2026

U-like networks have become fundamental frameworks in medical image segmentation through skip connections that bridge high-level semantics and low-level spatial details. Despite their success, conventional skip connections exhibit two key limitations... read more

Feasibility study of fast nuclide identification for beta-emitting sources using learning-based models.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Feb 26, 2026

This study investigates the feasibility of rapidly identifying beta-emitting radionuclides based on the beta spectrum data measured in air using learning-based models. Although beta particles are easily shielded, rapidly identifying beta-emitting nuc... read more

Artificial Intelligence Medical Compendium