Artificial Intelligence Medical Compendium

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

Showing 60,651 to 60,660 of 228,072 articles

Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties.

PloS one Jan 16, 2026
Understanding and controlling grain growth kinetics in steels is crucial for optimizing mechanical properties during thermomechanical processing. However, traditional empirical models often fail to account for the complex, nonlinear interactions betw... read more 
Machine Learning Algorithms Alloys Hardness Steel Kinetics Materials Testing

Insights Into Factors Affecting Nurses' Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study.

JMIR nursing Jan 16, 2026
BACKGROUND: Assessing the current landscape of nurses' knowledge and attitudes is a critical first step in facilitating a smooth and effective transition toward artificial intelligence (AI)-enhanced critical care. OBJECTIVE: This study aimed to asses... read more 
Humans Adult Cross-Sectional Studies Artificial Intelligence Female Nursing Staff, Hospital Critical Care Nursing Surveys and Questionnaires Health Knowledge, Attitudes, Practice Male Saudi Arabia Nurses Critical Care Middle Aged Attitude of Health Personnel

A hybrid CNN-ViT based framework for automatic traffic actions detection in smart cities.

PloS one Jan 16, 2026
It is crucial to automatically detect traffic accidents and hazardous situations in a timely and accurate manner. In this way, both individual security will be ensured and significant contributions will be made to economic efficiency and sustainable ... read more 
Accidents, Traffic Algorithms Cities Humans Neural Networks, Computer Artificial Intelligence

A legal judgment prediction model based on knowledge fusion and dependency masking.

PloS one Jan 16, 2026
Legal Judgment Prediction (LJP) is a core task in Legal AI systems, which aims to predict law articles, charges, and term-of-penalty from case facts. While existing deep-learning-based LJP approaches for civil law systems have achieved certain progre... read more 
Judgment Deep Learning Models, Theoretical Humans Neural Networks, Computer

The Diagnostic Value of Image-Based Machine Learning for Osteoporosis: Systematic Review and Meta-Analysis.

Journal of medical Internet research Jan 16, 2026
BACKGROUND: Osteoporosis (OP) is projected to be a major issue significantly impacting the well-being of middle-aged and old populations. Machine learning (ML) and deep learning (DL) models developed based on medical imaging have enhanced clinicians'... read more 
Machine Learning Osteoporosis Deep Learning Magnetic Resonance Imaging Tomography, X-Ray Computed Humans

Towards practical AI for agriculture: A self-supervised attention framework for Spinach leaf disease detection.

PloS one Jan 16, 2026
Malabar spinach is a nutrient-dense leafy vegetable widely cultivated and consumed in Bangladesh. Its productivity is often compromised by Alternaria leaf spot and straw mite infestations. This work proposes an efficient and interpretable deep learni... read more 
Artificial Intelligence Deep Learning Agriculture Plant Diseases Spinacia oleracea Plant Leaves Bangladesh

Identification of cell senescence-related genes in spontaneous preterm birth based on bioinformatics analysis and machine learning.

PloS one Jan 16, 2026
Spontaneous premature birth (SPTB) is a common pregnancy complication; however, few studies have explored cell senescence-related markers in SPTB. Bioinformatics and machine learning approaches were used to predict potential biomarkers associated wit... read more 
Female Cellular Senescence Premature Birth Gene Ontology Humans Machine Learning Computational Biology Pregnancy Protein Interaction Maps Gene Expression Profiling Databases, Genetic Gene Regulatory Networks Transcriptome

Artificial intelligence-enabled "inherited noninvasive intracellular recording" for prolonged monitoring of cardiac action potentials.

Science advances Jan 16, 2026
Intracellular action potential (AP) recording that allows long-term monitoring is challenging because permanent membrane penetration is impossible due to cell death or resealing of perforated cell membrane. Herein, an "inherited noninvasive intracell... read more 
Action Potentials Animals Neural Networks, Computer Myocytes, Cardiac Artificial Intelligence Rats Microelectrodes

Large-scale proteomics profiling of peripheral blood of DM1 patients identifies biomarkers for disease severity and functional capacity.

Journal of neuromuscular diseases Jan 16, 2026
BackgroundMyotonic Dystrophy Type 1 (DM1), the most common genetic neuromuscular disorder in adults, poses significant challenges for drug development due to its multisystem nature and high clinical variability in symptoms and disease progression. Wi... read more 

G.AI.A: An Integrated Machine-Learning Platform for Predicting Bioaccumulation and Ecotoxicity of Pharmaceuticals.

Journal of chemical information and modeling Jan 16, 2026
Pharmaceutical pollution in aquatic environments poses a significant ecological threat due to the accumulation of bioactive compounds from human and veterinary sources. In support of the EU Green Deal's Chemicals Strategy for Sustainability, this stu... read more 
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