Artificial Intelligence Medical Compendium

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

Showing 35,641 to 35,650 of 222,841 articles

Machine learning-based prediction of dynamic heterosis for plant height with pathway biomarkers in rice.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
The metabolomic landscape of dynamic heterosis for plant height was displayed in rice. Heterosis-associated pathways across most developmental stages were developed into robust pathway biomarkers. The development of robust biomarkers enables accurate... read more 

Temporal AI-assisted compressed sensing for high-resolution, motion-robust small-bowel MR enterography without antiperistaltic agents: a feasibility study.

European radiology
OBJECTIVES: To evaluate whether temporal AI-assisted compressed sensing (tACS) enables high-resolution, motion-robust magnetic resonance enterography (MRE) without antiperistaltic agents and improves acquisition efficiency and motility visualization.... read more 

Deciphering stone mining-induced hazardous heavy metal contamination in agricultural soils using source attribution, health-dietary risk analysis, and machine learning-driven insights.

Environmental geochemistry and health
Mining activities significantly contribute to the release of hazardous heavy metals (HHMs) into agricultural soils, especially where stone extraction is intensive. This study assessed metal content, source identification, and possible health risks as... read more 

Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources.

Brain informatics
PURPOSE: MELD Graph is a state-of-the-art artificial intelligence (AI) model for automated detection of focal cortical dysplasia (FCD), but its performance remains limited, highlighting the need to investigate which aspects of the pipeline affect its... read more 

CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer's disease: a state-of-the-art review.

Acta neurologica Belgica
Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by extracellular amyloid-β (Aβ) plaque deposition, intracellular neurofibrillary tangles composed of hy... read more 

An Interpretable Fuzzy-AI Clinical Decision Support System for Selecting Orthognathic Surgery in Skeletal Class III Malocclusion.

The Journal of craniofacial surgery
This study aimed to develop an interpretable fuzzy-artificial intelligence (AI) framework to support treatment decision-making between orthognathic surgery and orthodontic camouflage in patients with skeletal class III malocclusion, while providing c... read more 

Study on material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps.

Medicine
To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on network pharmacology and machine learning. The effective constituents and targets of the Guizhi Fuling pi... read more 

Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

Medicine
This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) to assess frailty risk in ischemic stroke patients. Clinical information of ischemic stroke patients admitted to our hospital from January 2023 to Dec... read more 

The Motion is the Message: Evaluating Motion Tracking Quality for VR Avatars.

IEEE transactions on visualization and computer graphics
Motion tracking to project users into embodied virtual reality (VR) as avatars is an essential application of real-time computer graphics. Most current embodied VR systems rely on head-mounted displays (HMDs) to estimate user pose, as headset sensors... read more 

Which Strategy When? Designing an Adaptive Search System for Virtual Reality.

IEEE transactions on visualization and computer graphics
Searching for information, objects, or places in virtual reality (VR) is often a cumbersome process that breaks user immersion. Existing interaction techniques like pointing or voice commands are context-dependent, yet current systems fail to help us... read more