Artificial Intelligence Medical Compendium

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

Showing 50,981 to 50,990 of 225,062 articles

Smart Breathomics: future prospects for non-invasive respiratory disease detection using biomarkers in exhaled breath condensate.

Drug discovery today
Smart Breathomics is redefining the field of non-invasive diagnostics in respiratory diseases through the analysis of exhaled breath condensate (EBC). Chronic respiratory diseases (CRDs) represent a significant global health burden and are becoming i... read more 

Omic analysis of the protein profile in digestive tumours, from proteomics to clinical practice.

Cirugia espanola
Proteomics has emerged as a key tool in precision medicine, enabling in-depth molecular characterization of digestive tumours. This article outlines a standardised workflow, encompassing sample collection, protein extraction, and unbiased proteomic a... read more 

Accelerated brain aging in prolonged grief disorder of later life: Influence of comorbid depression.

Journal of affective disorders
BACKGROUND: Prolonged Grief Disorder (PGD) in later life may involve volumetric patterns indicative of accelerated brain aging. This study examined whether structural brain age differs between individuals with PGD and those with integrated grief (IG)... read more 

Predicting Persistent Renal Failure Necessitating Dialysis in Patients Undergoing Elective, Open Thoracoabdominal Aortic Aneurysm Repair.

The Annals of thoracic surgery
BACKGROUND: Acute renal failure remains a significant complication after open thoracoabdominal aortic aneurysm (TAAA) repair and is associated with high mortality. Rigorous risk estimation for this complication is vital for these patients. METHODS: D... read more 

Retinal Biomarkers for Cardiovascular Disease Prediction: A Review Focused on CHD AHD Valvular Disorders and Cardiomyopathies.

Current cardiology reviews
INTRODUCTION: Cardiovascular diseases (CVDs) remain the leading cause of global mortality, with congenital heart disease (CHD), acquired heart disease (AHD), valvular disorders, and cardiomyopathies contributing significantly to morbidity. Retinal fu... read more 

The application of Machine learning in predicting the outcomes of minimally invasive treatments for uterine Fibroids: A systematic review and meta-analysis.

European journal of radiology
RATIONALE AND OBJECTIVES: Uterine fibroids (UFs) are common benign tumors that impact women's health, particularly through symptoms such as abnormal bleeding or reproductive dysfunction. Interventional radiology (IR) techniques like uterine artery em... read more 

Harnessing angular geometry in deep learning for protein-ligand binding affinity prediction.

Computer methods and programs in biomedicine
BACKGROUND: Protein-ligand binding affinity prediction is essential in structure-based drug design, where binding scores guide the selection of promising candidate ligands. Existing deep learning models often use 3D grids, voxelized complexes, or mol... read more 

Beyond local aggregation: Global graph contrastive learning for multi-view fusion.

Neural networks : the official journal of the International Neural Network Society
Multi-view fusion has emerged as an effective paradigm for learning unified embeddings from heterogeneous sources. Graph-based methods have gained recognition for their capability to capture and align cross-view structural relationships among instanc... read more 

Ensemble learning for air quality index prediction: integrating gradient boosting, XGBoost, and stacking with SHAP-based interpretability.

Scientific reports
The increasing challenge of air pollution in cities requires smart methods to make proper predictions and manage the problem. Although machine learning and deep learning models have contributed greatly to weather and pollution forecasting, the main i... read more 

Assessing ChatGPT-4o's Image Generation for Educational Infographics in Plastic Surgery: A Pilot Study.

Aesthetic plastic surgery
BACKGROUND: Integrating generative artificial intelligence (AI) in patient education has opened new avenues for creating engaging and informative content, especially in visually intensive specialties such as plastic surgery. ChatGPT-4o, developed by ... read more