Artificial Intelligence Medical Compendium

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

Showing 59,491 to 59,500 of 227,876 articles

Hemorrhage Segmentation in Fundus Images Using the U-Net 3+ Model: Performance Comparison Across Retinal Regions.

Journal of imaging informatics in medicine Jan 21, 2026
Diabetic retinopathy (DR) is one of the most common complications of diabetes, and timely detection of retinal hemorrhages is essential for preventing vision loss. This study evaluates the U-Net3 + model for pixel-level hemorrhage segmentation in fun... read more 

An interpretable deep learning model for predicting endometrial cancer molecular subtypes from H&E-stained slides.

NPJ precision oncology Jan 21, 2026
The molecular subtype of endometrial cancer is important for predicting prognosis and treatment effectiveness. This study aimed to develop an interpretable deep learning model based on H&E-stained whole slide images (WSIs) to predict the molecular su... read more 

Integrating physics and machine learning for unified seismic forward modeling and reservoir property inversion.

Scientific reports Jan 21, 2026
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Hybrid deep learning framework for accurate classification of high dimensional genomic data.

Scientific reports Jan 21, 2026
High-dimensional genomic datasets often contain redundant, noisy, and sparse features that make accurate classification challenging for conventional deep learning (DL) models. Existing approaches generally fail to maintain interpretability and stabil... read more 

Taxonomical modeling and classification in space hardware failure reporting.

Scientific reports Jan 21, 2026
NASA Johnson Space Center has collected more than 54,000 space hardware failure reports. Obtaining engineering processes trends or root cause analysis by manual inspection is impractical. Fortunately, novel data science tools in Machine Learning and ... read more 

Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening.

Scientific reports Jan 21, 2026
Diabetic Retinopathy (DR) is a critical source of blindness that can be prevented globally, and accurate analysis of retinal fundus images enables early detection. Fundus images are often affected by multiple noise sources, which impair image quality... read more 

Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation.

Scientific reports Jan 21, 2026
This paper presents a novel knowledge graph enhanced cross-modal generative adversarial network (KG-CMGAN) for preserving traditional martial arts techniques. We address the challenges of capturing the complex, multidimensional nature of martial arts... read more 

Enhanced language models for predicting and understanding HIV care disengagement: a case study in Tanzania.

NPJ digital medicine Jan 21, 2026
Sustained engagement in HIV care and adherence to ART are crucial for meeting the UNAIDS "95-95-95" targets. Disengagement from care remains a significant issue, especially in sub-Saharan Africa. Traditional machine learning (ML) models have had mode... read more 

A self attention based deep learning framework for accurate and efficient dental disease detection in OPG radiographs.

Scientific reports Jan 21, 2026
Oral diseases are increasing now-a-days and there is a high demand for the automatic diagnostic system that helps the clinician to detect these oral diseases with more accuracy and reduced human error. Utilizing the advancement of Deep Learning techn... read more 

Correction: Artificial intelligence-based analysis of retinal fluid volume dynamics in neovascular age-related macular degeneration and association with vision and atrophy.

Eye (London, England) Jan 21, 2026
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