Artificial Intelligence Medical Compendium

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

Showing 2,241 to 2,250 of 202,214 articles

Rule-guided Skip-GCN in neural latent information diffusion network for social recommendation.

Scientific reports Jun 4, 2026
Graph neural networks (GNNs) have significantly advanced social recommendation; however, existing methods often homogenize diverse social influences and neglect latent item-item correlations, limiting their ability to model complex user preferences. ... read more 

Predicting student grades via adaptive multi-level learning models.

Scientific reports Jun 4, 2026
Educational institutions increasingly rely on intelligent systems to extract actionable insights from student data. One critical application is the early prediction of student performance in specific courses, which can inform academic advising, cours... read more 

Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation.

Scientific reports Jun 4, 2026
Efficient prediction of the remaining useful life (RUL) of lithium ion batteries is essential in ensuring safety, reliability and energy efficiency of new energy-storage and mobility systems. This paper suggests a hybrid machine-learning model that c... read more 

Lightweight hybrid foreign object detection framework with scene aware and uncertainty fusion mechanism.

Scientific reports Jun 4, 2026
Foreign object detection (FOD) in autonomous driving environments poses a significant challenge due to the dual nature of anomalous objects: known objects appearing in inappropriate contexts or truly novel objects unseen during training. Existing met... read more 

Optimal hidden layer size for Levenberg-Marquardt based neural network for SoC estimation under different temperature conditions.

Scientific reports Jun 4, 2026
Currently, neural networks are one of the best techniques that can be used to earn the great challenge of accurate electric vehicle battery SOC estimation. Therefore, in this study, a Levenberg-Marquardt (LVA) based neural network is developed to est... read more 

Multi-scale computational analysis of monoacylglycerol lipase inhibition as a new therapeutic strategy for hepatocellular carcinoma.

Scientific reports Jun 4, 2026
Hepatocellular carcinoma (HCC) remains one of the most critical global health challenges, particularly in connection to metabolically linked diseases like metabolic dysfunction-associated steatotic liver disease (MASLD). Current studies established a... read more 

Integrating multi-source remote sensing, field work, and petrography for automatic lithological mapping and mineralization potential in the Gabal El-Faraid, Egypt.

Scientific reports Jun 4, 2026
The Gabal El-Faraid Group, in the Egyptian Southeastern Desert, comprises Neoproterozoic lithologies and structurally controlled mineralization zones that require an integrated exploration approach. This study integrates multi-source remote sensing d... read more 

Weakly-supervised deep learning on pathological whole-slide images for cutaneous vasculitis and its mimickers: a high-performance diagnostic support tool.

Scientific reports Jun 4, 2026
Cutaneous vasculitis represents a heterogeneous group of disorders characterized by inflammation and necrosis of blood vessels within the skin, with or without systemic involvement. The pathological diagnosis of cutaneous vasculitis remains a signifi... read more 

AI technology for human computer collaborative intelligent English teaching under DCCM model.

Scientific reports Jun 4, 2026
To further alleviate the difficulty of integrating personalized tutoring with humanistic care in traditional English teaching tasks, this study proposes a human-computer collaborative intelligent teaching model based on the dynamic cognitive clusteri... read more 

Predictive modeling of pest spread in tea plants using an intelligent computational approach.

Scientific reports Jun 4, 2026
Tea is a popular beverage prepared from the leaves of the Camellia sinensis plant, embraced by a good share of the world's population. However, pests and predators threaten its production, which must be controlled without adversely affecting the natu... read more 
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