AI Medical Compendium

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

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

Personalised thrombo-embolic risk prediction after endometrial cancer surgery: an explainable AI approach using SHAP.

NPJ digital medicine May 27, 2026

To address the clinical challenge of postoperative lower extremity deep vein thrombosis (LEDVT) in endometrial cancer care, this study establishes an explainable machine learning framework for personalized risk prediction. Utilizing perioperative dat... read more

Delta feature and random forest-enhanced LSTM-attention forecasts with probabilistic postprocessing for rainfall forecasting.

Scientific reports May 27, 2026

Reliable rainfall forecasts are crucial for real-time flood control and managing water resources. Advances in deep learning, high-performance computing, and Internet of Things (IoT)-based synoptic measurements are making rainfall predictions increasi... read more

Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detection.

NPJ digital medicine May 27, 2026

Gastroesophageal reflux disease (GERD) diagnosis traditionally relies on acid exposure time (AET) obtained from 24-h multichannel intraluminal impedance-pH (MII-pH) monitoring, the gold standard for GERD diagnosis. However, a negative result (AET < 4... read more

Artificial Intelligence Medical Compendium

A case-aware feature modulation framework for defect classification in power lines.

Deep learning for apple leaf disease diagnosis: a comparative study with convolutional neural networks and transformers.

A federated learning-enabled energy-aware anomaly detection algorithm for secure big data analytics in IoT-based smart healthcare systems.

Research on motor diagnosis and maintenance decision-making technology based on DCCNN-L transformer and fault knowledge graph.

Interpretable sentiment-aware transformer-based model for individual log anomaly detection in distributed systems using word-level explanations.

Optimization of attention mechanisms in choral conducting education using EEG and eye movement tracking with transfer learning algorithms.

Reliability and readability of AI platforms for pediatric health advice: a comparative analysis.

Personalised thrombo-embolic risk prediction after endometrial cancer surgery: an explainable AI approach using SHAP.

Delta feature and random forest-enhanced LSTM-attention forecasts with probabilistic postprocessing for rainfall forecasting.

Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detection.

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