AI Medical Compendium

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

Investigation of Concordance between Artificial Intelligence and Manual Measurements of the Cardiac Parameters in Cardiac Magnetic Resonance Imaging.

Journal of imaging informatics in medicine May 21, 2026

BACKGROUND: Commercial artificial intelligence (AI) software for cardiac magnetic resonance (CMR) analysis has shown promising internal validation results, but independent external validation in distinct clinical settings remains limited. This study ... read more

Integrating machine learning and structural analysis to decipher benzo[a]pyrene-induced bladder cancer networks.

Discover oncology May 21, 2026

Benzo[a]pyrene (BaP), a polycyclic aromatic hydrocarbon from tobacco smoke, exhaust, and pollutants, is linked to bladder cancer (BLCA). We systematically analyzed GEO datasets to identify BaP-related differentially expressed genes (DEBRGs). By integ... read more

Artificial Intelligence Medical Compendium