Artificial Intelligence Medical Compendium

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

Showing 4,411 to 4,420 of 174,001 articles

Construction of A Novel 5-Dye Fluorescent Multiplex System With 30 Y-STRs for Patrilineal Relationship Prediction.

Electrophoresis Aug 20, 2025
Nowadays, Y chromosome short tandem repeats (Y-STRs) are widely used in forensic medicine practice, which has great significance for ancestry tracing, male lineage evolution, and male paternal relatives. Rapidly mutating Y-STRs (RM Y-STRs) have been ... read more 

External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands.

Breast cancer research : BCR Aug 20, 2025
BACKGROUND: Current clinical guidelines recommend gene expression profiling to guide treatment in early-stage breast cancer. PreciseBreast (PDxBR) is a digital prognostic tool that integrates artificial intelligence (AI)-derived features from hematox... read more 
Humans Artificial Intelligence Prognosis Retrospective Studies Female Aged Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Gene Expression Profiling Neoplasm Staging Neoplasm Recurrence, Local Netherlands

AI-driven reclassification of multiple sclerosis progression.

Nature medicine Aug 20, 2025
Multiple sclerosis (MS) affects 2.9 million people. Traditional classification of MS into distinct subtypes poorly reflects its pathobiology and has limited value for prognosticating disease evolution and treatment response, thereby hampering drug di... read more 

Assessment of ChatGPT's Performance on the ACP 2024 National Prosthodontics Resident Exam (NPRE).

European journal of dental education : official journal of the Association for Dental Education in Europe Aug 20, 2025
PURPOSE: To evaluate the performance of ChatGPT on the National Prosthodontics Resident Exam (NPRE). read more 

An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.

Scientific reports Aug 20, 2025
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f... read more 
Humans Algorithms Brain Neoplasms ROC Curve Imaging, Three-Dimensional Glioma Support Vector Machine Magnetic Resonance Imaging

Machine learning aided optoelectric characterization modelling and prediction of the IV parameters of perovskite solar cells with > 90% accuracy.

Scientific reports Aug 20, 2025
Luminescence imaging techniques assume a critical role in the evaluation of the durability and lifespan of solar cells. This study presents a novel empirical approach that capitalizes on simple machine learning-based linear regression (MLLR) to progn... read more 

SCRIPT: Predicting Single-Cell Long-Range Cis-Regulation Based on Pretrained Graph Attention Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 20, 2025
Single-cell cis-regulatory relationships (CRRs) are essential for deciphering transcriptional regulation and understanding the pathogenic mechanisms of disease-associated non-coding variants. Existing computational methods struggle to accurately pred... read more 

Exploration of biomarkers for predicting the prognosis of patients with diffuse large B-cell lymphoma by machine-learning analysis.

BMC immunology Aug 20, 2025
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Predicting post-liver transplantation mortality: a retrospective cohort study on risk factor identification and prognostic nomogram construction.

European journal of medical research Aug 20, 2025
BACKGROUND: To identify risk factors for post-transplant mortality and develop a machine learning-integrated prognostic tool to optimise clinical decision-making in liver transplantation (LT) recipients. read more 
Humans Prognosis Retrospective Studies Female Risk Factors Adult Male Middle Aged Risk Assessment Postoperative Complications Nomograms Liver Transplantation End Stage Liver Disease

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure Aug 20, 2025
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more 
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