AI Medical Compendium

PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images.

Scientific reports Feb 9, 2026

Optimization and prediction of peak temperature in friction stir welding of Al 6061 T6 using statistical and machine learning techniques.

Scientific reports Feb 9, 2026

This paper presents an optimized approach for predicting peak temperatures during Friction Stir Welding (FSW) of Al 6061 T6 alloys. COMSOL Multiphysics is used to perform finite element analysis (FEA) to predict peak temperatures, incorporating seven... read more

Integrative single-cell and machine learning framework reveals prognostic fibroblast subtypes and constructs a fibroblast-related risk signature in lung adenocarcinoma.

Scientific reports Feb 9, 2026

A dataset collected in real-world industrial control systems for network attack detection.

Scientific data Feb 9, 2026

In the context of Industry 4.0, Industrial Control Systems (ICSs) are undergoing a significant transition from physical isolation to partial openness. While this shift enhances operational efficiency and integration, it also exposes ICSs to increasin... read more

Identification of perception gaps between physicians and patients with neurological diseases and the prediction of these gaps using machine learning.

Scientific reports Feb 9, 2026

Understanding perception and communication gaps between patients with neurological diseases and their treating physicians is essential for optimizing patient-centered care. The GAP-AI study aimed to identify these gaps in a cohort of patients with Pa... read more

SwinCup-DiscNet: A fusion transformer framework for glaucoma diagnosis using optic disc and cup features.

Scientific reports Feb 9, 2026

Glaucoma remains a critical cause of permanent global visual disability, and is produced by advancing destruction of the visual nerve head (ONH). Early detection is critical important in preventing vision loss. We propose a new fusion transformer pip... read more

An image compression-encryption algorithm based on BP neural network optimized with fireworks algorithm.

Scientific reports Feb 9, 2026

With the rapid growth of the volume of image data, the burden of storage and transmission has increased dramatically. However, current algorithms face challenges in balancing compression efficiency with security. In this paper, a novel algorithm for ... read more

Artificial neural network modeling and optimization of an electrochemical biosensor for plasma miR-155-based breast cancer detection.

Scientific reports Feb 9, 2026

MicroRNA-155 (miR-155) is a clinically important biomarker involved in cancer progression, immune regulation, and inflammatory diseases, highlighting the need for sensitive and reliable detection methods. Conventional biosensor fabrication often reli... read more

Horizontal nystagmus identification with joint SAM segmentation and time series classification.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery Feb 9, 2026

PURPOSE: Nystagmus is an involuntary jerky eye movement. It is an oculomotor sign of asymmetry in the vestibular pathway. With the rapid advancement of deep learning and its widespread applications, numerous deep learning-based methods for nystagmus ... read more

Non-local attention enhanced deep learning for robust cyberattack detection in industrial IoT-based SCADA systems.

Scientific reports Feb 9, 2026

Artificial Intelligence Medical Compendium

PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images.

Optimization and prediction of peak temperature in friction stir welding of Al 6061 T6 using statistical and machine learning techniques.

Integrative single-cell and machine learning framework reveals prognostic fibroblast subtypes and constructs a fibroblast-related risk signature in lung adenocarcinoma.

A dataset collected in real-world industrial control systems for network attack detection.

Identification of perception gaps between physicians and patients with neurological diseases and the prediction of these gaps using machine learning.

SwinCup-DiscNet: A fusion transformer framework for glaucoma diagnosis using optic disc and cup features.

An image compression-encryption algorithm based on BP neural network optimized with fireworks algorithm.

Artificial neural network modeling and optimization of an electrochemical biosensor for plasma miR-155-based breast cancer detection.

Horizontal nystagmus identification with joint SAM segmentation and time series classification.

Non-local attention enhanced deep learning for robust cyberattack detection in industrial IoT-based SCADA systems.

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