Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 9,621 to 9,630 of 208,614 articles
A Multi-center Gadolinium-ethoxybenzyl-diethylenetriamine Pentaacetic Acid (Gd-EOB-DTPA) MRI Dataset with Expert Annotations and clinicopathological data.
Scientific data
May 27, 2026
Liver resection is a cornerstone treatment for liver tumors, yet post-hepatectomy liver failure (PHLF) remains a severe and life-threatening complication with no effective treatment. Recent advances in artificial intelligence (AI) have shown promise ... read more
A federated deep learning framework with distributed hybrid character-level and attention mechanisms for scalable and cost-efficient fake news detection.
Scientific reports
May 27, 2026
Fake news detection is an essential task for media and news organizations to maintain the trust and reliability of the published content. Due to the rapid growth of online users and the spread of misinformation through malicious sources, the fake new... read more
A case-aware feature modulation framework for defect classification in power lines.
Scientific reports
May 27, 2026
Conductors and grounded transmission towers are separated by non-conductive overhead transmission line insulators are known as materials. They frequently meet with problems once they are put into use mechanical or electrical pressure and environmenta... read more
Deep learning for apple leaf disease diagnosis: a comparative study with convolutional neural networks and transformers.
Scientific reports
May 27, 2026
Plant diseases pose a major threat to global food security, significantly reducing agricultural yields. Therefore, timely diagnosis of plant diseases can help prevent food losses and support economic stability. This study explores the use of eight Co... read more
A federated learning-enabled energy-aware anomaly detection algorithm for secure big data analytics in IoT-based smart healthcare systems.
Scientific reports
May 27, 2026
The rapid expansion of Internet of Things (IoT) devices in smart healthcare systems has led to the generation of large volumes of diverse medical data. This creates challenges in ensuring secure, scalable, and energy-efficient anomaly detection. Trad... read more
Research on motor diagnosis and maintenance decision-making technology based on DCCNN-L transformer and fault knowledge graph.
Scientific reports
May 27, 2026
Traditional deep learning methods for motor fault diagnosis have primarily focused on signal-based classification. Intelligent operation and maintenance encompasses both fault diagnosis and maintenance decision-making. However, transitioning from vib... read more
Interpretable sentiment-aware transformer-based model for individual log anomaly detection in distributed systems using word-level explanations.
Scientific reports
May 27, 2026
Logs are a primary source of information for monitoring the health, security, and performance of large-scale distributed systems such as cloud services and data centers. However, the volume and variability of log messages make manual inspection impra... read more
Optimization of attention mechanisms in choral conducting education using EEG and eye movement tracking with transfer learning algorithms.
Scientific reports
May 27, 2026
This study presents a comprehensive investigation into attention mechanism optimization in choral conducting education through the integration of electroencephalography (EEG) and eye movement tracking technologies with transfer learning algorithms. T... read more
Mutant-Initiated Structure-Guided Refinement Enables Second-Generation Compact IscB Genome Editors.
Chembiochem : a European journal of chemical biology
May 27, 2026
Compact RNA-guided nucleases such as IscB represent an attractive foundation for next-generation genome editors, yet their application in mammalian cells has been constrained by suboptimal activity. Here, instead of re-engineering enzymes, we establi... read more
Reliability and readability of AI platforms for pediatric health advice: a comparative analysis.
Scientific reports
May 27, 2026
Large language models (LLMs) are increasingly used as a first-line source of information for everyday questions, including pediatric health guidance, yet the quality and readability of their outputs remain uncertain. This study aimed to comparatively... read more
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