Artificial Intelligence Medical Compendium

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

Showing 35,061 to 35,070 of 221,633 articles

Trends in the studies of pharmacoresistant epilepsy- a review based on literature analysis (2015-2025).

Acta epileptologica
Drug-resistant epilepsy (DRE) is a complex neurological disease that accounts for 30%-40% of all epilepsy cases. Its pathogenesis and treatment have always been research hotspots in this field. In recent years, interdisciplinary research on DRE has g... read more 

Photon-counting Detector CT Spectral Reconstructions for Radiomics-based Liver Lesion Classification: A Multicenter Study.

Investigative radiology
OBJECTIVES: Accurate noninvasive classification of hepatic lesions remains a diagnostic challenge, particularly on conventional CT. Photon Counting Detector CT (PCD-CT) offers spectral imaging capabilities that may enhance tissue characterization. Th... read more 

SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validation.

Food & function
Type 2 diabetes mellitus (T2DM) requires multi-target therapeutic approaches addressing both insulin resistance and insulin secretion deficits. Although natural compounds are promising multi-target candidates, systematic identification of their polyp... read more 

Growth curve models for weight among children up to 2 years: a scoping review.

JBI evidence synthesis
OBJECTIVE: The aim of this scoping review was to systematically identify and map the literature on statistical and mathematical approaches used to estimate weight growth curves in children under 24 months of age. This review aims to trace the evoluti... read more 

An explainable online frailty prediction model for community-dwelling older adults based on machine learning algorithms: a cross-sectional study based on retrospective health data.

Annals of medicine
BACKGROUND: Frailty is a significant health concern associated with diminished physiological reserves and increased healthcare burdens. Currently, effective models for predicting frailty risk are lacking. This study utilizes machine learning-based mo... read more 

Perspectives of UK horse carers towards the use of artificial intelligence in equine healthcare.

The Veterinary record
BACKGROUND: Artificial intelligence (AI) is becoming increasingly prevalent in the modern world, including in veterinary medicine. This cross-sectional study aimed to investigate horse carers' attitudes towards using AI use in equine care. METHODS: A... read more 

Solvent effects on CO2 capture by simple amino acids: an integrated density functional theory - machine learning approach.

Physical chemistry chemical physics : PCCP
The process of CO2 capture by amino acids offers a promising approach for carbon capture technologies, yet the influence of the molecular structure and solvent environment on the reaction mechanisms remains to be understood. The present study investi... read more 

Machine learning for accelerated prediction of size distributions of spherical nanoparticles from small-angle X-ray scattering.

Physical chemistry chemical physics : PCCP
Small-angle X-ray scattering (SAXS) is widely used for characterizing the particle size distribution (PSD) at the mesoscale. Conventional extraction of PSD from SAXS data typically relies on traditional numerical methods such as Monte Carlo algorithm... read more 

Machine learning in the prediction of liver iron concentration and iron chelation therapy adjustment.

Hematology (Amsterdam, Netherlands)
OBJECTIVES: Iron chelation therapy titration is managed by hematologists who monitor iron levels and adjust medication dosages to achieve patient outcomes. This study developed a machine learning (ML) algorithm to predict the liver iron concentration... read more 

A Temperature-Pressure Dual-Mode Flexible Patch Sensor with Temperature Compensation and Pressure Decoupling Functions for Pulse Detection and Recognition.

ACS sensors
Accurate and continuous detection of human pulse waves is critical for long-term health monitoring and physiological assessment during physical activity. However, most conventional flexible pulse sensors are single-mode, making them susceptible to in... read more