Artificial Intelligence Medical Compendium

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

Showing 40,211 to 40,220 of 223,737 articles

Improved BG-PVS Quantification in Infant Brain MRI Using Anatomy-Informed Pseudo-Labels for Joint BG and PVS Segmentation.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Reliable quantification of perivascular spaces (PVS) in the basal ganglia (BG) is of growing interest for understanding the glymphatic system but remains challenging in infants. PURPOSE: To develop an automated deep learning method for BG... read more 

Active Learning-Guided Polymorph Control in Co-Precipitation Synthesis.

Small methods
Phase control of polymorphic materials is important yet challenging due to the vast synthesis parameter space and the sensitivity of certain phases to specific conditions. Recent advances in integrating artificial intelligence with laboratory automat... read more 

Reliability of Rectus Femoris Ultrasound Measurements and Relationship With Truncal Muscle Mass in Healthy Individuals Using Concurrent CT Measurements as the Reference Standard: A Pilot Study.

Ultrasound quarterly
In chronic diseases, accelerated muscle mass loss is associated with poor clinical outcomes. Computed tomography (CT) is considered a reference standard for assessing muscle mass, but it is limited for longitudinal assessment. Ultrasound (US) is more... read more 

A review of machine learning applications in the prediction of selected groundwater quality parameters: Key lessons, knowledge gaps, and future directions.

The Science of the total environment
Rigorous prediction and assessment of groundwater quality is a critical component of sustainable water resource management. In recent years, machine learning (ML) has emerged as a powerful tool to model groundwater quality, offering data-driven solut... read more 

5-Hydroxymethylcytosine profiles in circulating cell-free DNA serve as potential biomarkers for diagnosis and classification of adenomyosis.

EBioMedicine
BACKGROUND: Adenomyosis diagnosis and classification relies primarily on magnetic resonance imaging or pathological examination. Liquid biopsy has been widely applied in oncology but remains underexplored for adenomyosis. We aimed to identify liquid-... read more 

Automated multi-chemical dosing control based on machine learning for magnetic coagulation in aquaculture wastewater.

Journal of environmental management
Magnetic coagulation using magnetic powder with polyaluminum chloride and polyacrylamide is a promising option for aquaculture wastewater treatment, yet practical deployment is constrained by the need for real-time multi-chemical dosing under highly ... read more 

Synergistic Effect of a Combined 10-MDP/γ-MPTS Primer on Glass-Ceramic Bonding: A Multimodal Study.

International dental journal
INTRODUCTION AND AIMS: This study investigated the synergistic effect of combining 10-methacryloyloxydecyl dihydrogen phosphate (10-MDP) and γ-methacryloxypropyl trimethoxysilane (γ-MPTS) in one primer on bonding to lithium disilicate ceramics. METHO... read more 

Enhancing the accuracy of seawater intrusion vulnerability assessment using a hybrid GALDIT framework in tropical low-lying coastal settings.

Marine pollution bulletin
Low-lying coastal plains are highly susceptible to seawater intrusion (SWI), driven by factors such as sea-level rise, coastal flooding, and saline encroachment. These challenges are further intensified by anthropogenic activities, which traditional ... read more 

Radiographers' role in the age of AI: A qualitative comparative multi case study.

Radiography (London, England : 1995)
INTRODUCTION: Artificial intelligence (AI) is increasingly integrated into radiology workflows, supporting tasks such as image reconstruction, patient positioning, and administrative processes. While these developments promise efficiency and improved... read more