Artificial Intelligence Medical Compendium

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

Showing 47,401 to 47,410 of 224,199 articles

Taiwan Academy of Tumor Ablation (TATA) consensus on hepatocellular carcinoma ablation.

Hepatology international
Hepatocellular carcinoma (HCC) ranks sixth in incidence and third in mortality worldwide, underscoring its public health burden. Ablation therapy is one of the curative treatments for early-stage HCC. With recent advances in systemic therapy, combini... read more 

Predicting Hypertension Persistence in Coarctation of the Aorta: A Feasibility Study.

Annals of biomedical engineering
Hypertension (HTN), despite contemporary endovascular repair, is a common and challenging complication of coarctation of the aorta (CoA), and its mechanisms and optimal management remain uncertain. Using computed tomography angiography (CTA), we pres... read more 

Dual Low-b-value-driven U-shaped fusion GAN for synthesizing high-b-value prostate DWI.

Physical and engineering sciences in medicine
High-b-value (b = 2000 s/mm²) diffusion-weighted imaging (DWI) is vital for prostate disease detection and characterization due to superior tumor-to-background contrast, but its direct acquisition is time-consuming, technically demanding, and prone t... read more 

Shaping Teacher Education Through Professional Identities: Enhancing Autism Awareness.

Journal of autism and developmental disorders
PURPOSE: The main aim of this study is to examine autism awareness in relation to different professional identities and to explore its implications for teacher education. Furthermore, the study aims to explore how teacher education can be improved by... read more 

Regional brain age is decreased in children with sickle cell anemia.

Blood advances
DeepBrainNet, a machine learning tool, uses magnetic resonance imaging (MRI) to predict an individual's brain age, allowing calculation of the brain age gap (predicted chronological age) for use as a biomarker of brain health. We tested the DeepBrain... read more 

An Accurate Charge-Aware Machine-Learning Interatomic Potential for the Reduction of Li-Ion Battery Electrolytes in Solution.

Journal of chemical theory and computation
Machine learning interatomic potentials (MLIPs), also known as machine learning force fields (MLFFs), offer scalable means of simulating complex systems and processes at ab initio level accuracy. One such process is the critical yet still poorly unde... read more 

Machine Learning-Assisted Local-to-Global Optimization Strategy for Accelerated Molecular Cluster Structure Prediction.

Journal of chemical information and modeling
We present a machine learning-assisted local-to-global optimization strategy (LOGOS) for predicting stable molecular cluster structures on potential energy surfaces (PESs). This model facilitates the construction of molecular clusters by identifying ... read more 

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study.

JMIR medical education
BACKGROUND: Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence-powered medical history-taking training and evaluation system (AMTES) and established its technica... read more