Artificial Intelligence Medical Compendium

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

Showing 34,221 to 34,230 of 221,510 articles

Clinical evaluation of deep learning accelerated lumbar T2-weighted and fat-suppressed MRI sequences.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
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A fully automated CT-based pelvimetry pipeline for quantifying mid-pelvic surgical workspace in rectal cancer.

International journal of computer assisted radiology and surgery
PURPOSE: Pelvimetry may aid preoperative planning in rectal cancer surgery, yet manual measurements are time-consuming and MRI-based methods require dedicated protocols. We developed a fully automated CT-based pipeline for quantifying mid-pelvic geom... read more 

Attention-Enhanced U-Net for Sensor-Efficient High-Density EEG Reconstruction in Wearable Brain Monitoring Systems.

Journal of medical systems
UNLABELLED: High-channel-density (HCD) electroencephalography (EEG) enables fine-grained neural sensing but is constrained by high hardware costs, spatial complexity, and limited portability. This study developed a deep learning-based method to recon... read more 

Q-learning via deep learning-based Buckley-James method for non-linear censored data.

Lifetime data analysis
In healthcare, personalized treatment strategies are vital for improving patient outcomes, especially under right-censored survival data. We propose Dynamic Deep Buckley-James Q-Learning, a novel counterfactual Q-learning algorithm that integrates de... read more 

Development and validation of a machine learning model for predicting 6-month mortality in patients with infective endocarditis.

Biomedical engineering online
OBJECTIVE: This study aimed to develop and validate a machine learning (ML)-based model for predicting 6-month all-cause mortality in patients diagnosed with infective endocarditis (IE), using retrospective data from a single tertiary care center. Ad... read more 

A machine learning approach to using ultrasound for body composition and nutritional status assessment in newborns: a pilot study protocol.

Pilot and feasibility studies
BACKGROUND: Accurate assessment of infant body composition, specifically fat and fat-free mass, is crucial for evaluating growth and nutritional status. Existing methods, such as air displacement plethysmography and dual-energy X-ray absorptiometry, ... read more 

Three decades of hemodynamic monitoring (1995-2025): from invasive pressure based hemodynamic profiling to functional physiology.

Current opinion in critical care
PURPOSE OF REVIEW: Hemodynamic monitoring has undergone a profound transformation over the last 30 years. The field has transitioned from the "standard of care" invasive pulmonary artery catheterization (PAC) toward minimally invasive and noninvasive... read more