AI Medical Compendium

Toward early warning of unsafe behavior of excavator operators under time pressure: experimental evidence and EEG-based detection via RCF-IncepLite model.

Accident; analysis and prevention Feb 2, 2026

Time pressure can impair the cognitive functioning of excavator operators, thereby increasing unsafe behaviors and elevating the likelihood of accidents. This study uses a controlled excavator operation task with synchronized behavioral observation a... read more

Which approach better samples extreme traffic conflicts? Conventional- vs. machine learning-based sampling methods.

Accident; analysis and prevention Feb 2, 2026

Extreme value theory has been receiving much attention of late for proactively estimating crash risk through a two-step procedure that first samples extreme traffic conflicts and then estimates crash risk based on those sampled extremes. Although the... read more

GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation.

Journal of structural biology Feb 2, 2026

The challenge of establishing the relationship between protein sequences and their function cannot yet be considered completely solved. State-of-the-art annotation of Pfam domains is based on hidden Markov models (HMMs) built from hand-crafted sequen... read more

Extending the UTAUT Model: The role of cognitive flexibility in AI adoption in higher education.

Acta psychologica Feb 2, 2026

The current study investigates the factors affecting students' behavioral intentions to utilize "artificial intelligence" (AI) applications in learning by extending the "unified theory of acceptance and use of technology" (UTAUT) model with the inclu... read more

Contrasting land-use sources of microplastic and endocrine-disrupting compound pollution in a major coastal river network.

Marine pollution bulletin Feb 2, 2026

Environmental monitoring in coastal megacities prioritizes land-based microplastics (MPs) and endocrine-disrupting compounds (EDCs) as key threats to marine ecosystems. This study investigated their occurrence profiles and spatial patterns in Shangha... read more

Augmenting Surgical Preparation: How Learners Use Artificial Intelligence to Prepare for the Operating Room.

Journal of surgical education Feb 2, 2026

INTRODUCTION: Surgical trainees are increasingly using large language models (LLMs) for clinical and surgical preparation. However, there has been less discussion about the specific ways learners are utilizing artificial intelligence in pursuit of su... read more

MEF2A-mediated inhibition of ischemic stroke injury via the PI3K/AKT pathway: a comprehensive bioinformatics and in vitro study.

BMC neuroscience Feb 2, 2026

Predicting macrosomia and low birth weight with interpretable machine learning.

BMC pregnancy and childbirth Feb 2, 2026

Abnormal birth weight, including macrosomia and low birth weight, constitutes a significant global health burden associated with both immediate neonatal risks and long-term metabolic complications. However, accurate prediction remains challenging due... read more

Multi-omics integration in deciphering non-small cell lung cancer drug resistance: current status, challenges, and future prospects.

Hereditas Feb 2, 2026

Lung cancer is the leading cause of cancer-related deaths globally. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, and drug resistance severely undermines treatment efficacy. This review summarizes recent ... read more

Instance-level quantitative saliency in multiple sclerosis lesion segmentation.

Scientific reports Feb 2, 2026

In recent years, explainable methods for artificial intelligence (XAI) have tried to reveal and describe models' decision mechanisms in the case of classification and even for segmentation. However, XAI methods for semantic segmentation and in partic... read more

Artificial Intelligence Medical Compendium