Artificial Intelligence Medical Compendium

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

Showing 19,681 to 19,690 of 215,899 articles

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

Scientific reports
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
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
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)
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 

A hybrid ConvNeXt-BiLSTM framework for robust scene text recognition.

Scientific reports
Scene Text Recognition (STR) is a fundamental computer vision task with broad applications in autonomous navigation, document digitization, and assistive technologies. However, traditional STR models often rely heavily on large synthetic datasets due... read more 

The impact of tissue detection on diagnostic artificial intelligence algorithms in prostate digital pathology.

Scientific reports
Tissue detection is a crucial first step in most digital pathology applications. By applying image segmentation algorithms, all tissue is delineated and background discarded from further analyses, improving both computational efficiency and analytica... read more 

Sustainable biodiesel from Mesua ferrea seed oil using explainable machine learning for engine performance evaluation and emission profiling.

Scientific reports
The increasing focus on the United Nations Sustainable Development Goals and on global net-zero emission targets has intensified the search for renewable and low-carbon alternatives to fossil diesel in compression ignition engines. Biodiesel made fro... read more