Artificial Intelligence Medical Compendium

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

Showing 37,101 to 37,110 of 223,469 articles

Transferability of radiomics models between deep learning and conventional CT reconstruction algorithms: A task-based assessment for stratifying acute pancreatitis severity.

Journal of applied clinical medical physics
BACKGROUND: Extensive evidence has demonstrated the superior image quality achieved through deep learning-based reconstruction algorithms. However, given their growing adoption in clinical imaging, the impact of these algorithms on radiomics model de... read more 

Predicting ventilation from single breathing phase non-contrast CT using Swin Transformers.

Medical physics
BACKGROUND: Pulmonary ventilation imaging enables functional avoidance radiotherapy treatment plans by quantifying regional lung function. However, current clinical standards, such as 99𝑚Tc-based single-photon emission computed tomography (SPECT), r... read more 

CT data harmonization via learned virtual monoenergetic imaging for cross-kV scan translation and radiomics reproducibility.

Medical physics
BACKGROUND: Radiomics extracts quantitative imaging features from computed tomography (CT) data for clinical decision-making. However, variations in acquisition parameters-particularly x-ray tube voltage (kV)-introduce non-biological variability in a... read more 

An Ensemble of Long Short-Term Memory Models to Automatically Detect End-Range Movement Patterns in Men's Professional Hard Court Grand Slam Tennis.

European journal of sport science
Evaluating end-range movements during tennis match-play can quantify high intensity load exposure and facilitate specific analysis of players' high-end physical capabilities. Currently, the process to evaluate such movement is labour intensive, with ... read more 

Countermovement Jump Force-Time Mechanics Differentiate ACL Injury Status in Elite Alpine Ski Racers.

Scandinavian journal of medicine & science in sports
Biomechanical assessments of stretch-shortening cycle (SSC) movements such as the countermovement jump (CMJ) are used to evaluate neuromuscular function in alpine ski racers after anterior cruciate ligament reconstruction (ACLR). However, this analys... read more 

Emerging Nanomaterials for Advanced Water Decontamination: Opportunities and Challenges.

Water environment research : a research publication of the Water Environment Federation
Global water scarcity is increasingly intensified by persistent micropollutants such as pharmaceuticals, endocrine-disrupting compounds, personal care products, per- and polyfluoroalkyl substances (PFAS), and heavy metals. Due to their chemical stabi... read more 

Feasibility of Free-breathing Deep Learning-reconstructed Single-Shot Cine MRI in Participants with Arrhythmia: Comparison with Conventional Segmented Cine MRI.

Radiology. Cardiothoracic imaging
Purpose To evaluate the feasibility of retrospective electrocardiographically (ECG) gated single-shot cine using deep learning-enhanced compressed sensing (AI-CS) versus conventional balanced steady-state free precession (bSSFP) cine, focusing on lef... read more