AI Medical Compendium

Mapping knowledge structure and emerging trends in non-invasive brain-computer interface for stroke rehabilitation.

IBRO neuroscience reports Apr 24, 2026

OBJECTIVE: To explore the current research landscape and emerging frontiers in the application of non‑invasive brain-computer interface (BCI) technology in the field of stroke. METHODS: Publications related to non‑invasive BCI technology in stroke we... read more

Baseline brain volumes predict cognitive decline more robustly than atrophy rates: Evidence for brain reserve.

Cortex; a journal devoted to the study of the nervous system and behavior Apr 24, 2026

The concept of brain reserve offers a framework for understanding the mechanisms of cognitive resilience in later life. This study investigated whether a static measure of brain structure, a proxy for accumulated reserve, or a dynamic measure of atro... read more

Dataset of pulse - echo ultrasonic a - scan signals for derived recovery features of NMC - 622 cathode slurries during post - mixing structural evolution.

Data in brief Apr 24, 2026

This data article presents an open ultrasonic pulse - echo dataset acquired from NMC - 622 cathode slurries monitored under static conditions to characterise their post - mixing structural recovery behaviour. Slurries were prepared at varying solid c... read more

An open-access fire detection image dataset for research in computer vision and safety monitoring.

Data in brief Apr 24, 2026

This article presents the Fire Recognition Image Dataset, a comprehensive collection of images designed to support research in fire detection, smoke recognition, and safety monitoring using computer vision techniques. The dataset was created by syste... read more

Artificial intelligence-driven drug discovery: a new era in therapeutic innovation.

Bioorganic & medicinal chemistry Apr 24, 2026

Artificial intelligence (AI) is a computer system that performs tasks that require learning, problem-solving and decision-making skills. It mimics humans' cognitive functions, which include pattern recognition. Vast amounts of data serve as "experien... read more

Feature-enhanced dual-input transformer for LIBS quantitative analysis of minor-content elements.

Analytica chimica acta Apr 24, 2026

BACKGROUND: Laser-induced breakdown spectroscopy (LIBS) enables rapid, in situ quantitative compositional analysis, yet accurate quantification of minor-content elements remains difficult due to weak spectral signatures, noise, matrix effects, and li... read more

Machine learning-based identification of key genes underlying sex differences in hepatocellular carcinoma and targeted drug screening.

Biomedical reports Apr 24, 2026

Hepatocellular carcinoma (HCC) shows a marked predominance in men, yet the molecular basis for this sex disparity remains unclear. The present study leveraged multi-omics data and machine learning algorithms to identify key genes associated with sex-... read more

Using Artificial Intelligence to Detect Housing Status in Unstructured Electronic Health Record Data.

Joint Commission journal on quality and patient safety Apr 24, 2026

Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography

arXiv Apr 24, 2026

Reliable automated analysis of Optical Coherence Tomography (OCT) imaging is crucial for diagnosing retinal disorders but faces a critical barrier: the need for expensive, labor-intensive expert annotations. Supervised deep learning models struggle t... read more

Computer Vision and Pattern Recognition cs.LG

Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems