Artificial Intelligence Medical Compendium

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

Showing 19,271 to 19,280 of 214,800 articles

UveAI: clinic-ready scoring of retinal inflammation in uveitis on widefield fluorescein angiography using AI.

Scientific reports May 13, 2026
Retinal inflammation is a key determinant of visual prognosis in uveitis, yet its assessment on fluorescein angiography remains subjective, labor-intensive, and insufficiently scalable for clinical trials or large cohort studies. Fluorescein angiogra... read more 

Hessian-guided mixed-precision quantization of vision transformers under hardware constraints.

Scientific reports May 13, 2026
Vision transformers (ViTs) have attracted increasing attention in visual tasks due to their strong global modeling capability. However, compared with conventional convolutional neural networks, ViTs typically involve substantially more parameters and... read more 

Removal of Cr (VI) from wastewater using bentonite as adsorbent: Experimental and Machine Learning investigations.

Scientific reports May 13, 2026
Bentonite material was prepared and examined for the adsorptive removal of Cr (VI) from an aqueous solution. The bentonite was characterized by XRD, FTIR, SEM-EDS, BET and DLS analyses. The experimental design optimization results for the adsorption ... read more 

Multimodal interpretable deep learning for transcriptome-informed precision oncology and drug mechanism analysis.

NPJ digital medicine May 13, 2026
Precision oncology faces critical challenges in interpreting complex cellular signals and predicting drug responses across heterogeneous cancer environments. Here, we present BioGDR, a multimodal interpretable deep learning framework that integrates ... read more 

Single-cell and deep learning identify hypoxia-responsive lncRNAs predicting outcomes in colorectal cancer.

NPJ precision oncology May 13, 2026
Emerging evidence highlights hypoxia-responsive long non-coding RNAs (lncRNAs) as potential modulators in tumor biology. In this study, we explored the significance of a hypoxia-responsive lncRNA molecular signature (HRLPMS) and the therapeutic impli... read more 

A two-stage differential evolution algorithm for neural ensemble architecture search.

Scientific reports May 13, 2026
Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learning tasks. Their efficacy depends on architecture design, traditionally relying on deep learning expertise. Neural ensemble architecture search methods ... read more 

Robust automatic soft tissue flap segmentation using a challenging case-enriched nnU-Net in head and neck CT images.

Scientific reports May 13, 2026
Reconstructive surgery with a flap makes the definition of postoperative radiotherapy volumes challenging. It may also result in errors in automatic segmentation atlases of organ-at-risk and nodal volumes. Automating flap segmentation process could a... read more 

Harnessing hybrid stacking ensemble learning for accurate pulmonary embolism diagnosis using tabular clinical data.

Scientific reports May 13, 2026
Pulmonary Embolism (PE) is a serious condition that can be life-threatening if not diagnosed promptly as timely clinical decisions are critical. This research aims to present a hybrid stacking ensemble (HSE) framework for PE prediction using tabular ... read more 

Radiomics model integrating MRI and ECV enhances prediction accuracy for progression in high-grade glioma.

NPJ precision oncology May 13, 2026
Glioma is the most common primary brain tumor, with high-grade glioma (HGG) posing significant clinical challenges due to its poor survival outcomes. One-year tumor recurrence indicates a poor prognosis, making accurate progression risk prediction mo... read more 

Altered effective connectivity between the prefrontal cortex and caudate in children with overweight and obesity.

International journal of obesity (2005) May 13, 2026
OBJECTIVE: This study aimed to examine the interaction patterns between the reward and inhibitory control systems in children with overweight and obesity. METHODS: Resting-state fMRI data were collected at baseline from 38 children with overweight an... read more 
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