Artificial Intelligence Medical Compendium

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

Showing 16,721 to 16,730 of 213,633 articles

Simultaneous super resolution and denoising in X-ray CT using deep learning.

Journal of X-ray science and technology
BackgroundIt is common for X-ray computed tomography (CT) images to be reconstructed differently for various clinical examination purposes. This is primarily because we aim to meet two clinical requirements: improving spatial resolution and reducing ... read more 

Shaping the Future of Nasal Surgery: A Systematic Review of Preservation Rhinoplasty.

Aesthetic plastic surgery
BACKGROUND: Preservation rhinoplasty has transformed nasal surgery by prioritizing structural conservation while achieving aesthetic refinement and functional optimization. Unlike traditional rhinoplasty, which relies on extensive resection and recon... read more 

fNIRS-STCT: A Novel Hybrid Spatial and Temporal CNN and Transformer Network for fNIRS Signal Classification.

Brain topography
Functional near-infrared spectroscopy (fNIRS) is a non-invasive brain imaging method that detects neural activity by monitoring blood oxygen levels and circulation changes in the brain. Some current fNIRS classification models are simply adapted from... read more 

Machine learning and dose response effect models: an integrated approach to analyze the association between environmental variables and Cuneo Emergency Department admissions for Acute Otitis Media (2007-2015).

International journal of biometeorology
Acute otitis media (AOM) is a leading cause of pediatric Emergency Department visits, particularly among children under five years of age. Although its seasonal pattern is well established, the role of air pollution and meteorological factors remains... read more 

ProSSF: integrating sequence, structure, and gene ontology for prediction of protein stability, interaction, and function.

Molecular genetics and genomics : MGG
Protein sequences encode rich structural and functional information that governs how organisms respond to genetic variation, environmental challenge, and disease. However, existing computational methods typically rely on a single information source, ... read more 

Artificial intelligence-based anatomical recognition improves surgeon decision-making during robotic gastrectomy.

Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
BACKGROUND: Artificial intelligence (AI)-based anatomical recognition has emerged to support intraoperative cognition; however, its clinical utility beyond education remains limited. This study aimed to develop an AI model for suprapancreatic lymph n... read more 

APTw CEST MRI in therapy-naive IDH-wildtype glioblastoma: insights into tumor heterogeneity and molecular subtypes.

Journal of neuro-oncology
PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity of glioblastoma. Amide proton transfer-weighted (APTw) chemical exchange saturation transfer (CEST) MRI reflects endogenous protein and peptide content... read more 

Integrated assessment of developmental toxicity of antibiotic pollutants: Machine learning prediction, zebrafish validation, and network toxicology.

Molecular diversity
Developmental toxicity induced by environmental pollutants, particularly antibiotics, is often insidious and underestimated due to bioaccumulation and subsequent oral intake. This study developed a machine learning-based predictive strategy by constr... read more 

SLA and DDX60L as potential diagnostic biomarkers for subclinical atherosclerosis in systemic lupus erythematosus: a transcriptomic and clinical validation study.

Clinical rheumatology
BACKGROUND: Systemic lupus erythematosus (SLE) patients face a 5-tenfold increased risk of atherosclerosis (AS), with subclinical lesions often progressing asymptomatically until life-threatening cardiovascular events occur. This study aimed to ident... read more