Artificial Intelligence Medical Compendium

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

Showing 55,991 to 56,000 of 226,731 articles

Targeted blood proteome profiling using NULISAseq identifies a high-performance biomarker panel for Aβ pathology quantification and staging.

Alzheimer's & dementia : the journal of the Alzheimer's Association Feb 1, 2026
INTRODUCTION: While current blood-based biomarkers for Alzheimer's disease (AD) are effective for determining amyloid beta (Aβ) pathology positivity/negativity, they are insufficient for quantifying Aβ plaque deposition. METHODS: We profiled 325 plas... read more 

Assessing the effect of bovine MSTN variants on pre-mRNA splicing.

Animal genetics Feb 1, 2026
The myostatin protein is a potent negative regulator of skeletal muscle growth encoded by the MSTN gene. MSTN loss-of-function variants lead to a particular cattle phenotype characterized by an increase in skeletal muscle mass, known as "double muscl... read more 

Machine learning for optimizing mAs in KUB radiography with metal implants.

Journal of applied clinical medical physics Feb 1, 2026
BACKGROUND AND PURPOSE: Kidney-ureter-bladder (KUB) radiography is a common examination that exposes patients to a higher radiation dose and increased cancer risk; therefore, it is important to estimate suitable exposure factors for each patient prio... read more 

A tandem reinforcement learning framework for localized prostate cancer treatment planning and machine parameter optimization.

Medical physics Feb 1, 2026
BACKGROUND: Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a complex, high-dimensional problem typically solved with inverse planning solutions that are both temporally and computationally expensive. While machine lea... read more 

Monitoring the lateral ventricles in the presence of intracranial hemorrhage using automated dual segmentation.

Medical physics Feb 1, 2026
BACKGROUND: Segmentation of intracranial hemorrhage (ICH) alongside the brain's ventricles can provide crucial information in the management stroke or traumatic brain injury (TBI). Automated computed tomography (CT) based segmentation is time-efficie... read more 

A segmentation method with a large vision model for magnetic resonance imaging-guided adaptive radiotherapy.

Medical physics Feb 1, 2026
BACKGROUND: Segmentation is the most effort-consuming step for magnetic resonance imaging guided adaptive radiotherapy (MRIgART). Although the segment anything model (SAM) exhibits impressive capabilities, its application in medical imaging necessita... read more 

Slice-prompted HR-CTV interactive segmentation for cervical cancer brachytherapy: A multi-center study.

Medical physics Feb 1, 2026
BACKGROUND: In computed tomography (CT)-guided cervical cancer brachytherapy, the manual contouring for the high-risk clinical target volume (HR-CTV) is a time-consuming and expertise-dependent process. Furthermore, automated approaches struggle with... read more 

Inverse design of topological Fano resonance via deep learning based multi-objective optimization.

Optics letters Feb 1, 2026
Due to the complicated physical mechanisms of topological systems and the pronounced sensitivity and intrinsic asymmetry of Fano resonance, achieving structural designs for specific high-quality topological Fano resonances is particularly challenging... read more 

Research on color image-based multispectral reconstruction methods for candle flames.

Optics letters Feb 1, 2026
A multispectral reconstruction method for flame color images based on K-means clustering and backpropagation neural networks (BPNN) is proposed to overcome the low spectral resolution of temperature measurement using color RGB three-band radiation im... read more 

Interpretable model-driven end-to-end deep learning of geometric shaping for DML-based IM/DD systems.

Optics letters Feb 1, 2026
Direct modulation lasers (DMLs) are a low-cost technology for short-reach intensity modulation and direct detection (IM/DD) systems due to their small footprint and low power consumption. However, their performance is limited by nonlinear distortion ... read more 
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