Artificial Intelligence Medical Compendium

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

Showing 43,901 to 43,910 of 224,055 articles

Machine learning framework for multidimensional assessment of urban quality of life.

Scientific reports Mar 8, 2026
This study uses statistical and machine learning techniques to categorize and rank 99 high development cities according to multidimensional Quality of Life factors (QoL). We categorize cities into three unique clusters using hierarchical Ward.D2 clus... read more 

Integrating optical and radar satellite data for conflict-related change detection in Ukraine.

Scientific reports Mar 8, 2026
The ongoing war in Ukraine has caused extensive damage to infrastructure, agriculture, and the environment, while ground-based assessment remains severely constrained due to security concerns. This paper presents a novel change detection methodology ... read more 

A techno-economic and ai-based optimization framework for hybrid energy systems supplying rural telecom base stations.

Scientific reports Mar 8, 2026
This paper introduces a strict AI-based framework of analysis of HRES in technical and economic dimensions to drive remote BTS.The proposed system delivers a total power output of 1.2 kW at - 48 V and 23 A, ensuring compatibility with standard teleco... read more 

Integrated multi-omics analysis identifies and validates endoplasmic reticulum stress and mitophagy-related biomarkers in MASLD.

Scientific reports Mar 8, 2026
Metabolic dysfunction-associated steatotic liver disease (MASLD) is one of the most prevalent chronic liver diseases worldwide. Growing evidence indicates that endoplasmic reticulum stress (ERS) and mitophagy play critical roles in MASLD progression.... read more 

BigEye: a clinically interpretable deep learning framework for diabetic retinopathy detection and stage prediction.

Scientific reports Mar 8, 2026
Diabetic Retinopathy (DR) is a major cause of vision loss and blindness in diabetic individuals. DR is conventionally diagnosed by assessing retinal lesion findings from fundus photographs taken during exams and applying a scale like International Cl... read more 

CKAN-ATHP: a predictor for antihypertensive peptides based on sample augmentation and loss improvement strategies using the convolutional Kolmogorov-Arnold network.

Journal of cheminformatics Mar 8, 2026
Antihypertensive peptides (AHTPs) are short-chain peptides derived from food or bioproteins through enzymatic hydrolysis, fermentation, or chemical synthesis, and they have demonstrated promising blood pressure-lowering effects. These peptides primar... read more 

Prognostic nomogram for recurrence free survival in elderly patients with HBV related hepatocellular carcinoma and diabetes from a multicenter study.

Discover oncology Mar 8, 2026
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NAStructuralDB : structural database to facilitate computational studies of molecular modeling and recognition of proteins with special focus on antibody-antigen interactions.

mAbs Mar 8, 2026
Studying the interactions between antibodies and antigens is fundamental to the development of novel therapeutic biologics. Predictions of such interactions start with data collection. Though there exist reliable resources to identify antibody struct... read more 

AI-Driven Diagnostics vs. Clinician Assessment in Diabetic Retinopathy: A Comparative Analysis at a Secondary Eye Care Centre.

Ophthalmic epidemiology Mar 8, 2026
PURPOSE: To determine the diagnostic accuracy and reliability of artificial intelligence (AI) in identifying diabetic retinopathy (DR) and macular oedema (ME) compared to ophthalmologists. METHODS: This prospective study included 294 patients (576 ey... read more 

Frequency-Aware Feature Fusion Driven Multimodal Cell Microscopic Image Segmentation Framework.

Microscopy research and technique Mar 8, 2026
Multimodal cell microscopic image segmentation is a core component of high-content imaging and analysis (HCIA) technology, and its segmentation accuracy directly impacts the precision of HCIA analysis results. Deep learning-based cell segmentation me... read more 
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