Artificial Intelligence Medical Compendium

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

Showing 46,041 to 46,050 of 224,055 articles

Optimizing Fixed-Duration Ven-I Regimen in CLL: Expert Insight and AI Comparison.

Hematological oncology Mar 1, 2026
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Impact of CT calibration curves on radiotherapy planning using diagnostic CT scans and a planning CT supporting DirectDensity reconstruction.

Journal of applied clinical medical physics Mar 1, 2026
PURPOSE: DirectDensity enables tube voltage-independent, density-calibrated computed tomography (CT) images for treatment planning and is therefore increasingly used in radiotherapy facilities. In accelerated emergency workflows, diagnostic CT (dCT) ... read more 

Dysphagia optimized knowledge-based planning for head and neck cancer.

Journal of applied clinical medical physics Mar 1, 2026
PURPOSE: Swallowing dysfunction after radiotherapy (RT) is often linked to pharyngeal mucosal damage. This study aimed to develop a dysphagia-optimized knowledge-based planning (DO-KBP) model by incorporating individual pharyngeal constrictors (DO-KB... read more 

Prediction and Prevalence of Self-Harm and Nonsuicidal Self-Injury in Children With Learning Disabilities: A Machine-Learning Approach in Saudi Arabia.

Clinical psychology & psychotherapy Mar 1, 2026
The current study aimed to estimate the prevalence of self-harm and nonsuicidal self-injury (NSSI) in children with learning disabilities (LD) in Saudi Arabia and to develop machine-learning (ML) models to identify individuals at elevated risk. In a ... read more 

Impact of tissue staining and scanner variation on the performance of pathology foundation models: a study of sarcomas and their mimics.

The journal of pathology. Clinical research Mar 1, 2026
Histopathological analysis is considered the gold standard for the diagnosis and prognostication of cancer. Recent advances in AI, driven by large-scale digitisation and pan-cancer foundation models, are opening new opportunities for clinical integra... read more 

A Deep Learning Model for Absolute Risk Prediction of Alcohol Use Disorder in Adolescents and Young Adults.

Drug and alcohol review Mar 1, 2026
INTRODUCTION: Alcohol use disorder (AUD) is a major public health concern worldwide, with alcohol use during adolescence often leading to AUD in adulthood. Early identification of high-risk individuals is critical for reducing AUD risk. Absolute risk... read more 

Neural Underpinnings of Age Categorization of Faces in Young Adults.

Psychophysiology Mar 1, 2026
The present study investigated neurocognitive underpinnings of age categorization of faces by integrating behavioral and neuroimaging measures in young adults. Experiment 1 (N = 38) showed faster behavioral responses to older than younger faces in an... read more 

Generalizability of deep learning-based dose conversion model in proton beam therapy.

Journal of applied clinical medical physics Mar 1, 2026
BACKGROUND: In proton beam therapy (PBT), the analytical pencil beam (PB) algorithm involves dose uncertainties in inhomogeneous regions, making accurate Monte Carlo (MC) dose calculation desirable but time-consuming. Deep learning, converting the do... read more 

Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net.

Medical physics Mar 1, 2026
BACKGROUND: Long axial field-of-view PET scanners are becoming increasingly available worldwide for clinical and research nuclear medicine examinations, providing an increased field-of-view and sensitivity compared to traditional PET scanners. Howeve... read more 

A voxel-wise uncertainty-guided framework for glioma segmentation using spherical projection-based U-Net and localized refinement.

Medical physics Mar 1, 2026
BACKGROUND: Accurate segmentation of glioma subregions from multi-parametric MRI (MP-MRI) is critical for clinical management but remains challenging due to tumor heterogeneity and ambiguous tissue boundaries. PURPOSE: This study proposes an uncertai... read more 
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