Neuroscience and biobehavioral reviews
Apr 22, 2026
Quantifying behavior in animal models is essential for understanding neurological disorders, yet traditional scoring methods often fail to capture the complexity and heterogeneity of motor dysfunction. Recent advances in artificial intelligence (AI) ... read more
Green transport is increasingly important in improving urban air quality. Using daily air quality monitoring data at the station level, this paper employs a staggered difference-in-differences approach to examine the impact of high-quality fuel on ur... read more
Medical image segmentation is challenging due to the diversity of medical images and the lack of labeled data, which motivates recent developments in federated semi-supervised learning (FSSL) to leverage a large amount of unlabeled data from multiple... read more
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have increasingly transformative potential in orthopedic surgery, enhancing precision, efficiency, and outcomes. We aim to raise surgeon and researcher awareness of the Transparent Re... read more
PURPOSE: To describe Cornea Anterior Segment Dataset from Moorfields via INSIGHT (CADMUS), a large multimodal anterior segment imaging dataset developed through the Eye and Oculomics Health Data Research Hub (INSIGHT) Health Data Research Hub to supp... read more
OBJECTIVE: To investigate vertical hemispheric asymmetry of the outer retinal structure using structural and functional parameters in patients with retinitis pigmentosa (RP) and assess its association with genotype and age. DESIGN: A retrospective ob... read more
OBJECTIVE: To validate "Glandy LID," a novel marker-free, deep learning-based software designed for the automated assessment of eyelid morphology using intrinsic corneal diameter for calibration. DESIGN: Multicenter retrospective study. PARTICIPANTS:... read more
Cell-free DNA (cfDNA) in plasma provides attractive opportunities for early cancer diagnosis. This study aimed to establish gastric cancer (GC) artificial intelligence algorithms (GC-AIAs) based on cfDNA fragmentome for GC's early detection and subty... read more
Observer-independent assessment of nociceptive states is particularly important in non-communicative or vulnerable patient populations, where self-report is unavailable. In this proof-of-concept study, we explored whether exhaled breath metabolomics,... read more
Thermal runaway is one of the most critical safety risks in lithium-ion batteries. Mitigating this risk requires not only detecting imminent failures but also effectively discriminating early-stage chemical instabilities. With the growing complexity ... read more
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