Artificial Intelligence Medical Compendium

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

Showing 601 to 610 of 159,571 articles

Machine learning approaches for improved understanding of factors associated with history of sport-related concussion.

Risk analysis : an official publication of the Society for Risk Analysis
Sport-related concussion (SRC), which accounts for a significant portion of all mild traumatic brain injuries in the United States, can adversely affect quality of life and long-term cognitive function. Identifying the persisting effects of concussio...

AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming.

Scientific reports
Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a challenging task, significantly impacting crop yield...

Associations of Computerized Tomography-Based Body Composition and Food Insecurity in Bariatric Surgery Patients.

Obesity surgery
INTRODUCTION: Food insecurity (FI) is associated with increased adiposity and obesity-related medical conditions, and body composition can affect metabolic risk. Bariatric surgery effectively treats obesity and metabolic diseases. The association of ...

Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability.

BMC medical informatics and decision making
OBJECTIVES: Timely intervention in shock is vital, as delays over one hour greatly increase mortality. This study aims to develop an enhanced machine learning model that improves predictive performance by utilizing self-controlled data and applying f...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

Arthritis care & research
This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies d...

Post-stroke aphasia analysis using topological alterations in brain functional networks.

Journal of neural engineering
OBJECTIVE: Nearly one-third of stroke patients develop aphasia. Although the function of classical language areas (e.g., Broca's area, Wernicke's area) has been widely characterized, the network reorganization mechanisms behind specific language dysf...

GALNT6 associated with O-GlcNAcylation contributes to the tumorigenesis of oral squamous cell carcinoma.

Discover oncology
BACKGROUND: We aimed to explore the regulatory gene associated with O-GlcNAcylation in oral squamous cell carcinoma (OSCC) and the underlying mechanism.

Predicting the molecular subtypes of 2021 WHO grade 4 glioma by a multiparametric MRI-based machine learning model.

BMC cancer
BACKGROUND: Accurately distinguishing the different molecular subtypes of 2021 World Health Organization (WHO) grade 4 Central Nervous System (CNS) gliomas is highly relevant for prognostic stratification and personalized treatment.

A hybrid learning approach for MRI-based detection of alzheimer's disease stages using dual CNNs and ensemble classifier.

Scientific reports
Alzheimer's Disease (AD) and related dementias are significant global health issues characterized by progressive cognitive decline and memory loss. Computer-aided systems can help physicians in the early and accurate detection of AD, enabling timely ...

AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models.

Scientific reports
The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning m...