Artificial Intelligence Medical Compendium

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

Showing 38,351 to 38,360 of 223,469 articles

LogoXpertNet: a novel lightweight logo classification using deep learning.

Scientific reports Mar 26, 2026
Logo classification is crucial in various applications, including brand monitoring, copyright protection, and digital forensics. Traditional computer vision techniques face significant limitations, particularly in handling scale variations, occlusion... read more 

Improving the performance of fluidized bed reactor using rotating distributor and intelligent modeling.

Scientific reports Mar 26, 2026
A swirling fluidized bed reactor (SFBR) has been used as a promising technique for renewable energy applications, such as biomass combustion, gasification, and pyrolysis systems, due to its superior solid-gas thermal efficiency and mixing. This study... read more 

Pseudo-depth-based deep neural network model for object detection.

Scientific reports Mar 26, 2026
Current machine learning methods only utilize the three-channel color features of optical images for computer visual tasks. However, the optical images only explicitly present information of RGB color and two-dimensional planar shape, where the third... read more 

A lightweight metallographic defect detection framework via structured priors and energy-aware attention under strong grain boundary interference.

Scientific reports Mar 26, 2026
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Machine learning predicts sepsis deterioration trajectories.

NPJ digital medicine Mar 26, 2026
Sepsis has heterogeneous clinical trajectories, but conventional severity scores offer only static risk estimates. Timely, dynamic prediction could enable personalized intervention. In this multicenter retrospective study of 47,936 ICU patients meeti... read more 

Attentional semantic attack for enhancing adversarial samples transferability.

Scientific reports Mar 26, 2026
Deep neural networks (DNNs) are highly susceptible to adversarial attacks, which can induce erroneous model outputs. While current adversarial attack methods demonstrate high efficacy in white-box settings, their performance often diminishes in black... read more 

MAGNet: enhancing action recognition with multimodal fusion and adaptive graph convolution.

Scientific reports Mar 26, 2026
Human action recognition is a key task in computer vision, with widespread applications in virtual reality, intelligent surveillance, and human-computer interaction. Although deep learning methods have made significant progress in this task, existing... read more 

Jewish Ethnic Subgroups and Artificial Intelligence Clinical Decision Support.

Journal of religion and health Mar 26, 2026
As artificial intelligence augments clinical decision-making, its risks to Jewish communities remain underexamined. AI accuracy depends on comprehensive data, yet algorithmic bias can worsen disparities among racial, ethnic, socioeconomic, or disabil... read more 

GHMS-CycleGAN: Graph-Based Hierarchical Multi-stain CycleGAN for Stain Normalization and Classification in Digital Pathology.

Journal of imaging informatics in medicine Mar 26, 2026
The emergence of digital pathology (DP) has provided numerous computer-aided diagnosis (CAD) opportunities and tools based primarily on deep learning (DL) approaches. However, staining variations and distortions caused by DP scanners during image dig... read more 

Precision medicine in thyroid nodules: current strategies, challenges, and future directions.

Hormones (Athens, Greece) Mar 26, 2026
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