AI Medical Compendium

Artificial intelligence driven multi agent framework for adaptive cyber attack simulation and automated incident response in cyber range environments.

Scientific reports Apr 7, 2026

Hybrid vision transformer framework for congenital heart disease diagnosis.

Scientific reports Apr 7, 2026

Deep learning-based differential diagnosis of major depression and bipolar disorder using microglia-cellular sensors and patient-derived small extracellular vesicles.

Scientific reports Apr 7, 2026

Climate-aware hybrid Kolmogorov-Arnold networks for interpretable solar radiation forecasting.

Scientific reports Apr 7, 2026

Accurate short-term solar radiation forecasting is essential for the reliable integration of photovoltaic systems into modern power grids, particularly in regions characterized by strong climatic heterogeneity. This study proposes a Climate-Aware Hyb... read more

The study of nomogram model based on CT radiomics and clinical features for histological classification of parotid gland tumors.

Scientific reports Apr 7, 2026

Diagnostic accuracy of multimodal large language models in differentiating epileptic from functional seizures in smartphone recorded videos.

Scientific reports Apr 7, 2026

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis.

Scientific reports Apr 7, 2026

Research on lung nodule detection in X-ray plain films based on improved YOLOv12 model.

Scientific reports Apr 7, 2026

To improve automatic lung nodule detection in chest X-ray images, this study proposes an improved YOLOv12-based detection framework by integrating space-to-depth convolution (SPDConv), a dynamic upsampling module (DySample), and a lightweight feature... read more

Mitigating label noise in network intrusion detection via graph-based sample selection and purification.

Scientific reports Apr 7, 2026

Machine learning has achieved notable progress in malicious traffic detection, yet its effectiveness highly depends on data that are sufficiently large and reliably labeled. In practice, many datasets are produced by automated labeling pipelines, whi... read more

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings.

Scientific reports Apr 7, 2026

Optical gas sensors based on photonic structures offer label-free, real-time detection with high sensitivity, but their design optimization remains computationally expensive. We present a hybrid machine learning framework that automates the inverse d... read more

Artificial Intelligence Medical Compendium

Artificial intelligence driven multi agent framework for adaptive cyber attack simulation and automated incident response in cyber range environments.

Hybrid vision transformer framework for congenital heart disease diagnosis.

Deep learning-based differential diagnosis of major depression and bipolar disorder using microglia-cellular sensors and patient-derived small extracellular vesicles.

Climate-aware hybrid Kolmogorov-Arnold networks for interpretable solar radiation forecasting.

The study of nomogram model based on CT radiomics and clinical features for histological classification of parotid gland tumors.

Diagnostic accuracy of multimodal large language models in differentiating epileptic from functional seizures in smartphone recorded videos.

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis.

Research on lung nodule detection in X-ray plain films based on improved YOLOv12 model.

Mitigating label noise in network intrusion detection via graph-based sample selection and purification.

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings.

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Artificial Intelligence Medical Compendium

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