Artificial Intelligence Medical Compendium

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

Showing 4,991 to 5,000 of 174,202 articles

Advanced liver fibrosis detection using a two-stage deep learning approach on standard T2-weighted MRI.

Abdominal radiology (New York) Aug 19, 2025
OBJECTIVES: To develop and validate a deep learning model for automated detection of advanced liver fibrosis using standard T2-weighted MRI. read more 

Application of directed message-passing neural network to predict human oral bioavailability of pharmaceuticals.

Journal of computer-aided molecular design Aug 19, 2025
High failure rates in drug development are predominantly driven by suboptimal ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties, with human oral bioavailability (HOB) serving as a critical determinant of therapeutic eff... read more 

Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants.

Scientific reports Aug 19, 2025
Water is one of the most critical and finite resources on our planet. As the demand for freshwater continues to grow, effectively managing and purifying existing water sources becomes increasingly important. This study introduces a Machine learning-b... read more 

A Seven-Gene Signature for the Diagnosis of Parkinson's Disease and Immune Infiltration Analysis.

Twin research and human genetics : the official journal of the International Society for Twin Studies Aug 19, 2025
The objective was to identify the predictive markers and develop a diagnostic model with predictive markers for Parkinson's disease (PD) and investigate the roles of immune cells in the disease pathology. Microarray datasets of PD and control samples... read more 

Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma.

Scientific reports Aug 19, 2025
Immunogenic cell death (ICD) is capable of activating both innate and adaptive immune responses. In this study, we aimed to develop an ICD-related signature in glioma patients and facilitate the assessment of their prognosis and drug sensitivity. Con... read more 
Humans Machine Learning Precision Medicine Prognosis Female Biomarkers, Tumor Brain Neoplasms Male Middle Aged Cell Line, Tumor Gene Expression Regulation, Neoplastic Cell Proliferation Glioma Cell Movement Immunogenic Cell Death

Development and validation of 3D super-resolution convolutional neural network for F-FDG-PET images.

EJNMMI physics Aug 19, 2025
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Real time machine learning prediction of next generation sequencing test results in live clinical settings.

NPJ digital medicine Aug 19, 2025
Next-generation sequencing-based tests have advanced the field of medical diagnostics, but their novelty and cost can lead to uncertainty in clinical deployment. The Heme-STAMP is one such assay that tracks mutations in genes implicated in hematolymp... read more 

Perception of AI Use in Youth Mental Health Services: Qualitative Study.

Journal of participatory medicine Aug 19, 2025
BACKGROUND: Artificial intelligence (AI) technology has made significant advancements in health care. A key application of using artificial intelligence for health (AIH) is the use of AI-powered chatbots; however, empirical evidence on their effectiv... read more 

Application of machine learning in early childhood development research: a scoping review.

BMJ open Aug 19, 2025
BACKGROUND: Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at risk of not reaching their developmental potential... read more 
Humans Machine Learning Infant Child, Preschool Child Child Development

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 
Humans Diabetic Retinopathy Neural Networks, Computer Glaucoma Machine Learning Algorithms Deep Learning Image Processing, Computer-Assisted Principal Component Analysis Eye Diseases Ensemble Learning
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