Artificial Intelligence Medical Compendium

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

Showing 45,321 to 45,330 of 224,055 articles

Attention-enhanced deep learning model for automated classification of hemorrhagic and ischemic stroke on CT imaging.

European journal of medical research
BACKGROUND: Stroke is a disease with extremely high mortality and disability rates worldwide. Hemorrhagic stroke and ischemic stroke require completely different treatment plans, so rapid and accurate stroke classification is crucial for clinical dec... read more 

Integrative multi-omics analysis reveals metabolic dysfunction signatures as critical determinants of prostate cancer prognosis and immunosuppressive microenvironments.

European journal of medical research
BACKGROUND: Metabolic reprogramming is a hallmark of cancer. However, the precise mechanisms by which specific metabolic pathways drive prostate cancer (PCa) progression and shape the tumor microenvironment remain poorly defined. METHODS: A machine l... read more 

The value of triglyceride-glucose-body shape index (TyG-ABSI) in evaluating stroke: a multi-centre cross-sectional study.

European journal of medical research
BACKGROUND: Stroke is the second leading cause of disability and mortality worldwide. A body shape index (ABSI) is calculated as waist circumference / (body mass index 2/3 × height 1/2). The TyG-ABSI is calculated as the product of the triglyceride-g... read more 

The dark side of AI transparency: investigating AI-induced anxiety, technostress, and consumer satisfaction through a hybrid SEM-ANN approach.

BMC psychology
As AI-driven technologies transform customer interactions, understanding their impact on consumer satisfaction is crucial. This study investigates the relationship between artificial intelligence (AI) transparency and consumer satisfaction, incorpora... read more 

Prediction of high-flow nasal cannula failure in critically ill patients: a narrative review.

Journal of intensive care
High-flow nasal cannula (HFNC) therapy is widely used for respiratory support in critically ill patients, offering benefits such as improved oxygenation and reduced respiratory rate. However, HFNC failure can lead to adverse outcomes, including incre... read more 

Leveraging generative AI to transform statistical analysis plan authoring in clinical trials.

Clinical trials (London, England)
BackgroundStatistical analysis plans are critical regulatory documents that define the statistical methodology, objectives, and data-handling procedures for clinical trials. The traditional process of statistical analysis plan development is resource... read more 

Proteomic profile of CSF obtained at the time of diagnosis determines amyotrophic lateral sclerosis progression and survival: CXCL7 levels in disease prognosis and survival.

Brain pathology (Zurich, Switzerland)
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease primarily affecting motor neurons. Neurofilament light chain (NfL) is the most established prognostic biomarker; however, its diagnostic resolution is limited, particularly with... read more