Artificial Intelligence Medical Compendium

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

Showing 5,281 to 5,290 of 174,574 articles

Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

BMC geriatrics Aug 19, 2025
BACKGROUND: Older patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, res... read more 
Surveys and Questionnaires Self Efficacy East Asian People Ischemic Stroke China Social Support Male Middle Aged Aged Aged, 80 and over Cross-Sectional Studies Health Literacy Humans Female Phobic Disorders Fear

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education Aug 19, 2025
BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ... read more 
Adult Female Physical Therapy Specialty Cross-Sectional Studies Humans Young Adult Male Surveys and Questionnaires Artificial Intelligence Students, Health Occupations Students Generative Artificial Intelligence

Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study.

Scientific reports Aug 19, 2025
Machine learning is a vital tool in advancing drug development by accurately predicting the physical, chemical, and biological properties of various compounds. This study utilizes MATLAB program-based algorithms to calculate topological indices and m... read more 
Humans Machine Learning Drug Discovery Quantitative Structure-Activity Relationship Anti-Asthmatic Agents Algorithms Asthma

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports Aug 19, 2025
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more 
Principal Component Analysis Eye Diseases Deep Learning Image Processing, Computer-Assisted Ensemble Learning Neural Networks, Computer Glaucoma Machine Learning Algorithms Humans Diabetic Retinopathy

Real-world data of CanAssist Breast- first immunohistochemistry and AI-based prognostic test.

Scientific reports Aug 19, 2025
CanAssist Breast (CAB), an immunohistochemistry (IHC) and artificial intelligence-based prognostic test, was developed on Hormone receptor-positive (HR +), HER2/neu-negative (HER2-) breast tumors from Indian patients and validated in retrospective gl... read more 
Artificial Intelligence Prognosis Retrospective Studies Humans Receptor, ErbB-2 Receptors, Progesterone Biomarkers, Tumor Adult Middle Aged Neoplasm Recurrence, Local Breast Neoplasms Female Immunohistochemistry Aged

Biomarker extraction-based Alzheimer's disease stage detection using optimized deep learning approach.

Journal of Alzheimer's disease : JAD Aug 19, 2025
BackgroundCognitive decline and memory loss in Alzheimer's disease (AD) progresses over time. Early diagnosis is crucial for initiating treatment that can slow progression and preserve daily functioning. However, challenges such as overfitting in pre... read more 

Targeting everyday decision makers in research: early career researcher and patient and public involvement and engagement collaboration in an AI-in-healthcare project.

Research involvement and engagement Aug 19, 2025
Patient and Public Involvement and Engagement (PPIE) is critical in the development and application of Artificial Intelligence (AI) in healthcare research to ensure that outcomes align with patients' and the public's needs. However, current PPIE prac... read more 

Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms.

Scientific reports Aug 19, 2025
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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis.

Journal of translational medicine Aug 19, 2025
BACKGROUND: Inflammatory bowel disease (IBD) is a chronic nonspecific inflammatory disorder triggered by immune responses and genetic factors. Currently, there is no cure for IBD, and its etiology remains unclear. As a result, early detection and dia... read more 
Support Vector Machine Neural Networks, Computer Gene Ontology Humans Machine Learning Inflammatory Bowel Diseases Algorithms Gene Expression Profiling

Experimental investigation and optimization of epoxy composites reinforced with jute fiber and alumina using the Jaya ANFIS approach.

Scientific reports Aug 19, 2025
Composites reinforced with natural fibers are increasingly progressively in diverse engineering practices for their remarkable attributes, including weight reduction, high strength, cost-efficiency, biodegradability, and renewability. This research e... read more 
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