Artificial Intelligence Medical Compendium

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

Showing 36,571 to 36,580 of 223,137 articles

[Contrast-enhanced CT-based habitat radiomics for analyzing the predictive capability for oral squamous cell carcinoma].

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CECT), this study explores a novel approach to predict cervical lymph node metastasis and pathological subtypes in oral squamous cell cancer (OSCC). MET... read more 

Advances in New Approach Methodologies for Assessing ADME Properties of Nano-formulations.

Xenobiotica; the fate of foreign compounds in biological systems
Conventional animal models face ethical concerns and scientific limitations, as interspecies differences often fail to capture the unique pharmacokinetics of nanomaterials.This review highlights advances in Non-Animal Models, including organoid-based... read more 

Serum Uric Acid-to-Creatinine Ratio and Atherogenic Index of Plasma as Independent Prognostic Indicators for Late Non-Valvular Atrial Fibrillation Recurrence After Catheter Ablation.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
BACKGROUND: Atrial fibrillation (AF) is one of the most common clinical arrhythmias, and postoperative recurrence remains a major concern in cardiovascular medicine. However, the predictive value of atherogenic index of plasma (AIP) and serum uric ac... read more 

Understanding Fabrication Variability in Core-Shell Soft Biomaterials Using Stochastic Artificial Intelligence.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Approaches for the fabrication of biomaterials are currently numerous, with a wide diversity of available material precursors, chemistries, and processing technologies. Owing to the complex nature of the human body, biomaterials are targeted for appl... read more 

Detecting Uniformity Artifacts in Ultrasound Transducers: Insights from Clinical Median Images and Deep Learning for Automatic Detection.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: Uniformity artifacts caused by defective transducer elements or scanner malfunctions degrade diagnostic image quality. Traditional quality control (QC) methods, such as phantom testing and visual or quantitative image analysis, can be lab... read more 

Deep learning approach for stroke volume variation estimation: retrospective modeling and prospective deployment in real-world practice.

Physiological measurement
Objective. We developed stroke volume variation (SVV) Net, a deep learning-based model for estimating SVV, and validated its performance and clinical applicability through both large-scale retrospective modeling and prospective real-time deployment w... read more 

CRISPR-Cas system: recent advancements in prompt diagnosis of high-risk HPV genotypes in cervical cancer.

Expert review of molecular diagnostics
INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infectious diseases, particularly viral pathogens. Human papillomavirus (HPV) comprises of more than 200 types, with persistent infection by 14 high-risk ge... read more 

Three-Dimensional Stretchable Tactile Sensors for Robotic Bionic Skin.

Advanced materials (Deerfield Beach, Fla.)
Stretchable tactile sensors are essential for robotic skin; however, conventional planar integration methods struggle to accommodate complex geometries, thereby limiting advanced sensing applications. Existing fabrication approaches (e.g., transfer p... read more 

AI-Driven Multimodal Analysis of Neuroimaging and Speech Data for Diagnosis of Alzheimer's, Parkinson's, and Epilepsy.

Biotechnology and applied biochemistry
This study investigates the application of machine learning (ML) techniques combined with neuroimaging and speech signal processing for the early detection of neurological disorders, including Alzheimer's disease, Parkinson's disease, and epilepsy. A... read more 

Machine Learning Approaches to Identify Physical, Psychological, and Social Predictors of Worsening Frailty Transitions Among Community-Dwelling Older Adults: A Longitudinal Cohort Study.

Geriatrics & gerontology international
BACKGROUND: Frailty poses a significant challenge to aging societies, with increasing attention being paid to the concept of frailty transitions. Worsening frailty transitions are associated with higher risks of hospitalization, increased mortality, ... read more