Artificial Intelligence Medical Compendium

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

Showing 16,711 to 16,720 of 213,633 articles

Multimodal integration of radiomics, pathomics, and clinical data enhances grading of adult diffuse gliomas using machine learning.

Neuroradiology
PURPOSE: Adult diffuse gliomas exhibit marked heterogeneity, making comprehensive evaluation of their biological behavior difficult. This study aimed to develop and validate a multimodal machine learning framework that fuses MRI-based radiomic featur... read more 

[Artificial intelligence in daily urological care: results of the AI barometer].

Urologie (Heidelberg, Germany)
BACKGROUND: Urological care in Germany is undergoing transformation, while novel technologies with artificial intelligence (AI) have the potential to automate processes and support caregivers. The aim was therefore to systematically describe workload... read more 

Parkinson disease severity detection based On OPtFuzNet with fused features.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
BACKGROUND: Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting millions of people worldwide. It severely impairs patients' mobility. For effective treatment strategies, it is essential to determine the severity of the dise... read more 

Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.

Acta neurochirurgica
Tumor stiffness and adhesion are decisive factors in neurosurgical strategy, yet they remain absent from standard planning and navigation. Advances in biomechanics allow these properties to be measured and mapped across modalities: magnetic resonance... read more 

Discovery and engineering of UDP-glycosyltransferase and its applications in natural sweetener glycosylation.

World journal of microbiology & biotechnology
With the growing health concern on sugar consumption, the high sweetness and low calorie natural sweeteners, such as steviol glycosides, mogrosides, glycyrrhizin, and trilobatin, offer a viable alternative. Glycosylation is an effective means to enha... read more 

FRDNAC: A Future-Ready DNA Cryptography Paradigm for Secure Cloud Data Transmission Using Deep Learning-Enhanced Key Generation.

Interdisciplinary sciences, computational life sciences
The growing reliance upon cloud settings has rendered secure transmission of information essential. This study introduces the future-ready DNA-based cryptography (FRDNAC) paradigm, which combines DNA-based encryption with the feedback-assisted archim... read more 

Deep Learning-Based Early Prediction of Syncope Onset During Tilt Table Testing via Temporal Convolutional Autoencoder Anomaly Detector.

Annals of biomedical engineering
INTRODUCTION: The head-up tilt table test (HUTT) is a lengthy and uncomfortable procedure for patients which often induces fainting. Post-transient loss of consciousness, nausea, vomiting, and pallor may occur. This study aims to develop and evaluate... read more 

Biological and Social Risk Factors for Predicting Type 2 Diabetes in Youth with Prediabetes: Review of Existing Prediction Models.

Diabetes therapy : research, treatment and education of diabetes and related disorders
With the rising prevalence of type 2 diabetes (T2D) among children and adolescents, the ability to predict the progression of prediabetes to T2D in youth is imperative, as it significantly affects long-term health and quality of life. A number of bio... read more 

[Position paper of the German Society of Cardiology-quality criteria for performing catheter ablation of atrial fibrillation: executive summary].

Herzschrittmachertherapie & Elektrophysiologie
The updated German Society of Cardiology (DGK) position paper on catheter ablation of atrial fibrillation (AF) [1] presents the current evidence, techniques, and quality standards, which have evolved significantly since 2017 alongside indications, te... read more