Artificial Intelligence Medical Compendium

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

Showing 1,041 to 1,050 of 161,325 articles

MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification.

Digital health
As one of the major threats to women's health worldwide, breast cancer requires early diagnosis and accurate classification, since they are key to optimizing therapeutic interventions and ensuring precise prognosis. Recently, deep learning has demons... read more 

Automatic Point Cloud Patching of Intraoral Three-Dimensional Scanning Based on Deep Learning.

International dental journal
INTRODUCTION AND AIMS: Intraoral scanning (IOS) captures real-time surface morphology of teeth and is widely used in clinical dentistry. However, due to the complex intraoral environment, data loss during scanning is common, leading to incomplete thr... read more 

Predicting arterial pressure without prejudice: towards effective hypotension prediction models.

British journal of anaesthesia
Selection bias has been identified in hypotension prediction models, but its impact on an algorithm's ability to learn relevant information from the arterial waveform remains unclear. The recent study by Yang and colleagues sheds considerable light o... read more 

Machine learning-driven optimization of arsenic phytoextraction using amendments.

Ecotoxicology and environmental safety
Exogenous amendments are crucial for enhancing the remediation efficiency of arsenic-contaminated soils by Pteris vittata. However, their effectiveness is unstable due to various factors, and neglecting their economic costs hinder broader application... read more 

Diagnostic performance of Large Language Models (LLMs) compared with physicians in sleep medicine.

Sleep medicine
BACKGROUND: Artificial intelligence (AI), particularly large language models (LLMs) are increasingly being explored for diagnostic capabilities in medicine. Leveraging LLMs within clinical systems may augment clinicians' diagnostic reasoning. The dia... read more 

Addressing bias in biomarker discovery for inflammatory bowel diseases: A multi-faceted analytical approach.

International immunopharmacology
Xiang-Guang et al. investigate the identification of novel biomarkers linked to M1 macrophage infiltration in inflammatory bowel diseases (IBD). Utilizing advanced bioinformatics and machine learning techniques, the researchers developed predictive m... read more 

Machine learning-assisted tacrolimus dose optimization in childhood- onset systemic lupus erythematosus through population pharmacokinetic modeling.

Computers in biology and medicine
OBJECTIVE: This study aimed to improve treatment effectiveness in childhood-onset systemic lupus erythematosus (cSLE) by developing machine learning algorithms integrated with pharmacokinetic parameters to predict individualized tacrolimus dosing for... read more 

Impact of environmental pollution on human health: Investigating the role of Polycyclic Aromatic Hydrocarbons in pediatric osteosarcoma.

Ecotoxicology and environmental safety
BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs), widely emitted through industrial processes and vehicular exhaust, are recognized environmental carcinogens. Although PAH exposure has been linked to various malignancies, the specific molecular me... read more 

Exploring factors influencing entry into the gig economy: A study of Chinese workers.

Acta psychologica
This study explores the factors influencing the choices of Chinese workers to enter the gig economy using data from the China Labor-force Dynamics Survey (CLDS) for the years 2014, 2016, and 2018. Drawing on self-determination theory, Labor Market Se... read more