Artificial Intelligence Medical Compendium

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

Showing 37,941 to 37,950 of 223,469 articles

Radiation Dose Optimisation Through Artificial Intelligence (AI)-based Auto-Thorax Collimation.

Journal of medical radiation sciences
INTRODUCTION: Artificial intelligence (AI) is increasingly adopted in digital radiography to enhance workflow efficiency, standardisation and support for radiation dose optimisation. Auto-thorax collimation (ATC) has been introduced to automate field... read more 

Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications.

Diseases of the colon and rectum
BACKGROUND: Artificial intelligence (AI) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care. This two-part review provides a comprehensive framework for understanding and implementing AI technolog... read more 

Benchmarking Hybrid CNN-Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Hyperpolarized 129Xe MRI faces technical challenges including low signal-to-noise ratio and breath-hold constraints. Current literature focuses on proprietary deep learning methods or image-domain enhancements. PURPOSE: To present a compr... read more 

Emerging perspectives in cardiovascular medicine.

Acta cardiologica
Cardiovascular medicine continues to evolve rapidly through advances in molecular biology, biomarkers, digital technologies, and interventional strategies. Recent contributions highlight progress in arrhythmia management, artificial intelligence-assi... read more 

Combined use of serum KL-6 and respiratory functional parameters for identifying fibrotic lung damage in SARS-CoV-2-induced interstitial pneumonia.

Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG
BACKGROUND: Post-COVID19 pulmonary fibrosis (PCPF) has been reported in a significant proportion of patients who survive the acute SARS-CoV-2 infection. Krebs von den Lungen-6 (KL-6) emerges as a marker of disease severity and progression in COVID-19... read more 

AI-Driven Species Sensitivity Distribution (AI-4-SSD) Framework for Predicting Aquatic Ecological Risks of Chemical Pollutants in Global Near-Coastal Environments.

Environmental science & technology
Currently, more than 350,000 chemicals and chemical mixtures have been registered for global production and use, and they are inevitably released into global near-coastal environments during their life cycle. However, the multidimensional adverse eff... read more 

A Machine Learning Approach to Predict Objective and Subjective Low Back Fatigue Using Postural Control Features During Sustained Trunk Flexion.

IISE transactions on occupational ergonomics and human factors
OCCUPATIONAL APPLICATIONSThis study investigated whether tree-based machine learning algorithms can predict objective (EMG-based) and subjective (Borg CR10) low back fatigue during a sustained trunk flexion, with and without back-support exosuit assi... read more 

Incremental Prognostic Value of Pericardial Adipose Tissue Radiomic Phenotype Based on Cardiac MRI in Patients With End-Stage Renal Disease.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: While pericardial adipose tissue (PEAT) volume is linked to cardiac risk, the prognostic value of its radiomic features for major adverse cardiac events (MACE: a composite of cardiac death, myocardial infarction, heart failure hospitaliza... read more 

Natural Language Processing Methods Automate Molecular Marker Extraction From Glioma Pathology Reports.

Neurosurgery
BACKGROUND AND OBJECTIVES: Molecular markers such as isocitrate dehydrogenase (IDH) and alpha-thalassemia/mental retardation syndrome X-linked (ATRX) status are essential for glioma classification and treatment planning, but their manual extraction f... read more