Artificial Intelligence Medical Compendium

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

Showing 13,361 to 13,370 of 211,153 articles

In silico augmentation strategies for enhanced machine learning performance in fracture recognition.

Scientific reports May 21, 2026
This study presents a machine learning framework for fracture risk prediction and in silico validation of synthetic biomedical data. A retrospective dataset comprising 169 patient records with clinically relevant variables, including age, sex, weight... read more 

A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.

Scientific reports May 21, 2026
The importance of structural health monitoring, especially for bridges that have exceeded their design life, has increased significantly to reduce maintenance costs, improve safety, and optimize performance. This article proposes a combination of mac... read more 

Prediction of unerupted canines and premolars widths in an Emirati population: development and validation of regression and machine learning models.

Scientific reports May 21, 2026
This study aimed to develop a more accurate model for predicting the widths of unerupted canines and premolars in Emirati children, using deep learning and machine learning techniques. Dental models of 380 Emirati individuals aged 15-30 years were co... read more 

Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling.

Communications biology May 21, 2026
Evolutionary studies in bacteria have emphasized genetic and metabolic diversity, while cell-size variation has received less attention. Here we introduce MEDUSSA, a high-throughput method for precise bacterial cell-size profiling based on automatic ... read more 

Development and validation of a novel YOLOv5-based artificial intelligence model for gastric mucosal lesion detection.

Surgical endoscopy May 21, 2026
BACKGROUND AND AIMS: Artificial intelligence (AI) has been widely used in endoscopic diagnosis; however, an AI model capable of comprehensively diagnosing both diffuse and focal lesions remains lacking. This study aimed to develop an AI-based endosco... read more 

Machine learning prediction and optimization of thermodynamic analysis and energy enhancement of a hybrid infrared dryer for onion slices.

Scientific reports May 21, 2026
Machine Learning (ML) and Artificial Intelligence (AI) are important tools for modelling drying processes to reduce moisture and preserve food products. This study investigated the drying performance of an industrial infrared conveyor belt drying sys... read more 

Life's Essential 8-Defined Cardiovascular Health and Mortality Risk in Cardiovascular-Kidney-Metabolic Health Stages 0-4: A Cohort Study.

Journal of epidemiology and global health May 21, 2026
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome represents a primary contributor to global morbidity and mortality. Despite the Life's Essential 8 framework offering a comprehensive assessment of cardiovascular health (CVH), its prognostic... read more 

AI-guided redesign of laboratory-evolved reverse transcriptases enhances prime editing.

Nature biotechnology May 21, 2026
Although protein engineering and laboratory evolution have been used to optimize prime editors, we show that previous changes that improve prime editor efficiency also compromise protein stability and expression level, limiting performance. To addres... read more 

Using machine learning to uncover joint involvement patterns linked to disease activity and disability in rheumatoid arthritis.

Clinical rheumatology May 21, 2026
BACKGROUND: Rheumatoid arthritis (RA) is a chronic inflammatory disease marked by painful, progressive joint damage that leads to disability and a significant socioeconomic burden. Given the growing interest in data-driven healthcare, this study appl... read more 

Innovations in pediatric imaging: a scoping review of the past decade with case illustrations.

World journal of pediatrics : WJP May 21, 2026
BACKGROUND: Imaging plays a fundamental and increasing role in the diagnostic work-up of pediatric patients. Non-invasive imaging methods include ultrasonography, X-ray, computed tomography (CT), and magnetic resonance imaging (MRI). The importance o... read more 
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