Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 51,661 to 51,670 of 225,182 articles

A unified vision-language model for cross-product defect detection in glove manufacturing.

PloS one Feb 11, 2026
Automated anomaly detection is vital to industrial quality control, yet conventional deep learning detectors often struggle with scalability. These models, typically following a rigid "one-model-per-task" paradigm, require separate systems for each p... read more 

Exploring the toxicological mechanisms of Benzo[a]anthracene (BaA) exposure in lung adenocarcinoma (LUAD) via network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

PloS one Feb 11, 2026
BACKGROUND: Lung adenocarcinoma (LUAD) is a major lung cancer subtype influenced by environmental factors. Benzo[a]anthracene (BaA), a common Group 2B carcinogen found in pollutants, smoke, and food, shows genotoxic and oncogenic activity; however, i... read more 

The data-driven decision-making, sustainable value creation, and international firm performance: Micro-level evidence based on AI language models.

PloS one Feb 11, 2026
Data-driven decision-making (DDDM) has become integral to managerial and organizational processes in the era of digitalization and internationalization. This study explores the impact of DDDM on international firm performance. Leveraging AI language ... read more 

A machine learning framework for predicting fuel consumption and CO2 emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation.

PloS one Feb 11, 2026
Accurate estimations of fuel consumption and carbon emissions insights are critical for performance benchmarking, emissions compliance, and the optimization of energy management strategies in vehicles' systems. Unlike model-based predictive approache... read more 

Bioinspired adaptive pupil reflex based on liquid-metal shape-shifters for machine vision.

Science robotics Feb 11, 2026
Inspired by the evolutionary diversification of biological eyes for environmental adaptation, recently emerged artificial counterparts offer a variety of visual features that can emulate the eyes of humans, insects, fish, eagles, cats, and others. Ho... read more 

Surgical Robotic System for Precision Femoral Fracture Reduction.

The Journal of bone and joint surgery. American volume Feb 11, 2026
Malalignment after femoral fracture repair remains common, with up to one-third of patients experiencing malrotations. Manual femoral fracture reduction remains physically demanding and fluoroscopy-dependent. Surgeons must apply traction forces to ov... read more 

Navigating high-dimensional processing parameters in organic photovoltaics via a multitier machine learning framework.

Science advances Feb 11, 2026
Optimizing organic photovoltaic (OPV) performance requires navigating the high-dimensional, interdependent processing parameters governing bulk heterojunction morphology. To address this, we have constructed a standardized database integrating donor/... read more 

Nonlinear optical extreme learner via data reverberation with incoherent light.

Science advances Feb 11, 2026
Artificial neural networks have revolutionized fields from computer vision to natural language processing, yet their growing energy and computational demands threaten future progress. Optical neural networks promise greater speed, bandwidth, and ener... read more 

YORU: Animal behavior detection with object-based approach for real-time closed-loop feedback.

Science advances Feb 11, 2026
The advent of deep learning methodologies for animal behavior analysis has revolutionized neuroethology studies. However, the analysis of social behaviors, characterized by dynamic interactions among multiple individuals, continues to represent a maj... read more 

Silencer variants are key drivers of gene up-regulation in Alzheimer's disease.

Science advances Feb 11, 2026
The genetic mechanisms of ~90% of Alzheimer's disease (AD)-associated variants residing in noncoding DNA remain poorly understood. To address this, we developed a deep learning framework that integrates bulk histone modification data with single-cell... read more 
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