Artificial Intelligence Medical Compendium

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

Showing 65,921 to 65,930 of 232,257 articles

Unraveling stress-adaptation pathways in cancer: Functional dissection through CRISPR-based genetic screens.

Cancer letters
Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalance. To cope with these challenges, they activate an interconnected network of adaptive pathways inclu... read more 

High-fat diet score reveals total and cardiovascular mortality and identifies protein biomarkers in large cohorts.

Journal of advanced research
INTRODUCTION: The high-fat diet (HFD) has complex health implications, shaped by the composition of macronutrients and food sources. However, existing dietary assessment tools lack the precision required for effective risk stratification. OBJECTIVES:... read more 

Spatial heterogeneity of viral communities across the gastrointestinal tracts of ruminants.

Journal of advanced research
INTRODUCTION: Viruses are abundant biological entities within the gastrointestinal tract (GIT) of ruminants. Current understanding is extensive for bacterial and archaeal communities, but limited for viral communities. OBJECTIVES: The study aimed to ... read more 

A fully autonomous AI system for accurate and reproducible Cobb angle measurement in adolescent idiopathic scoliosis: a multicenter study.

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: The gold standard diagnostic test for Adolescent idiopathic scoliosis (AIS) involves manually measuring the spinal column deformity by determining the Cobb angle on a full-spine X-ray image. This measurement involves a subjective ... read more 

A deep learning mobile application for tomato leaf nutrition deficiency identification with YOLOv8 and enhanced augmentation.

Plant science : an international journal of experimental plant biology
Nutritional deficiencies in crops lead to significant yield losses. Early and accurate detection of these deficiencies is crucial for effective intervention, as it enables timely corrective measures, minimizes crop damage, and ensures optimal product... read more 

Quantitative evaluation of retinal vascular morphology based on the human visual bionic mechanism for the evaluation of diabetic retinopathy onset.

Microvascular research
BACKGROUND AND AIMS: A limited amount of diabetic retinopathy (DR) development can be explained by traditional risk factors. This study aimed to determine the association of artificial intelligence (AI)-assisted retinal vasculature measurement parame... read more 

Machine learning model for predicting interfraction motion of the seminal vesicles in prostate cancer radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
BACKGROUND AND PURPOSE: In external beam radiotherapy for prostate cancer, inclusion of the seminal vesicles (SV) in the clinical target volume (CTV) is often complicated by considerable SV motion and deformation. This study aimed to investigate the ... read more 

Development and validation of A CCTA-based risk prediction model for major adverse cardiovascular events in esophageal cancer patients receiving radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
BACKGROUND AND PURPOSE: Major adverse cardiovascular events (MACEs) remain a significant concern in esophageal cancer (EC) patients receiving radiotherapy (RT). This study aimed to develop and validate a CCTA-based model for predicting MACEs in this ... read more 

Artificial intelligence in metagenome-assembled genome reconstruction: Tools, pipelines, and future directions.

Journal of microbiological methods
Metagenomic sequencing has revolutionised the field of microbial ecology, as it has led to cultivation-independent exploration of complicated microbial communities. The assembly of metagenome-assembled genomes has provided genome-scale information ab... read more 

Integrating Mendelian randomization and multi-omics analysis unravels gut microbiota-driven metabolic mechanisms in sepsis and identifies diagnostic biomarkers through experimental validation.

APL bioengineering
Sepsis, a life-threatening systemic inflammatory syndrome, remains a leading cause of global mortality due to its complex pathophysiology and the lack of specific diagnostic biomarkers. Recent evidence highlights intricate interactions between the gu... read more