Artificial Intelligence Medical Compendium

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

Showing 25,001 to 25,010 of 217,472 articles

SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems.

Scientific reports Apr 28, 2026
The rapid proliferation of Internet of Things (IoT) devices and advanced obfuscation techniques has led to increasingly sophisticated Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks. Traditional intrusion detection systems (I... read more 

Development of a risk prediction model for second primary thyroid cancer in female breast cancer patients based on machine learning algorithms.

Scientific reports Apr 28, 2026
Female breast cancer patients remain at risk of developing additional primary cancers even following surgical treatment. Second primary thyroid cancer (SPTC) is the most common type of multiple primary cancer (MPC) in this demographic during their su... read more 

Multi-scale pyramid pooling with low complexity for acoustic scene classification.

Scientific reports Apr 28, 2026
Acoustic scene classification (ASC) focuses on recognizing and characterizing acoustic environments. Convolutional neural networks (CNNs) are extensively employed in ASC due to their capability to learn local time-frequency information from spectrogr... read more 

A model for estimating the phase fraction in the microstructure of densified graphite iron (CGI) using machine learning techniques.

Scientific reports Apr 28, 2026
One method for assessing alloy properties is to analyze its microstructure image. Many factors influence the microstructure of alloys, particularly the content of alloying elements and the type of heat treatment. Depending on the alloy type, various ... read more 

MoRPI-PINN: a physics-informed framework for mobile robot pure inertial navigation.

Scientific reports Apr 28, 2026
A fundamental requirement for full autonomy for mobile robots is accurate navigation even in situations where satellite navigation or cameras are unavailable. In such practical scenarios, relying only on inertial sensors will result in navigation sol... read more 

A machine learning predictive model for staging chronic hepatitis B inflammation based on non-invasive metrics.

Scientific reports Apr 28, 2026
Early screening and antiviral therapy for significant liver inflammation in chronic hepatitis B (CHB) remain significant barriers as the key to disease reversal. The aim of this study was to develop a machine learning predictive model based on clinic... read more 

Deep learning-based automatic scoring of drug-induced sleep endoscopy in obstructive sleep apnea.

NPJ digital medicine Apr 28, 2026
Polysomnography is the standard tool for assessing obstructive sleep apnea (OSA) severity; however, it does not provide information regarding the anatomical site or extent of upper airway obstruction. Drug-induced sleep endoscopy (DISE) serves as a d... read more 

Generative AI vs web search for patient education: a comparative evaluation of OSA information quality.

Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine Apr 28, 2026
PURPOSE: Patients with obstructive sleep apnea (OSA) frequently seek information online, yet the comparative quality of content delivered by web search engines versus generative AI systems is unclear. This study evaluated how different digital inform... read more 

Gastrointestinal endoscopic image style transfer using EndoStyle to improve artificial intelligence prediction models.

NPJ digital medicine Apr 28, 2026
Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are trained on images from multiple video processors, whereas clinical environments typically rely on a si... read more 

A unified privacy-preserving data mining framework with multi-noise injection and hybrid deep learning for robust privacy-utility trade-offs.

Scientific reports Apr 28, 2026
This paper introduces a single Privacy-Preserving Data Mining (PPDM) framework that attempts to balance the privacy-utility dilemma between privacy and utility of the data. This methodology will combine a stringent preprocessing pipeline, which uses ... read more 
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