Artificial Intelligence Medical Compendium

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

Showing 10,601 to 10,610 of 209,601 articles

EnzymeTuning improves enzyme-constrained metabolic modeling and proteome abundance prediction through deep learning.

Nature communications May 27, 2026
The accuracy of enzyme kinetic parameters, particularly enzyme turnover numbers (kcat), is critical for the predictive performance of enzyme-constrained genome-scale metabolic models. However, currently available kinetic datasets remain sparse and of... read more 

A hybrid transformer-zero-shot learning framework with Muon optimization for intelligent channel estimation in MIMO wireless systems.

Scientific reports May 27, 2026
For MIMO wireless systems, accurate channel estimation is essential. However, traditional and current Deep Learning (DL) techniques have poor generalization to unknown situations and necessitate repeated retraining. For intelligent MIMO channel estim... read more 

In-vivo iron mapping in patients with Parkinson's disease using deep learning-based susceptibility source separation MRI.

NPJ Parkinson's disease May 27, 2026
Parkinson's disease (PD) involves pathological iron accumulation, yet MRI metrics, such as R2* or magnetic susceptibility (χ), lack mechanistic specificity because they convolve paramagnetic and diamagnetic sources. We applied an AI-assisted χ-separa... read more 

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 
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