Artificial Intelligence Medical Compendium

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

Showing 59,411 to 59,420 of 227,876 articles

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 

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 

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

Scientific reports Jan 21, 2026
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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 

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 

A machine learning approach for predicting osmotic coefficients and deriving activity coefficients in alkyl ammonium salts.

Scientific reports Jan 21, 2026
Quaternary Ammonium Salts (Quats) have diverse applications across various domains. They are extensively used as phase-transfer catalysts (PTCs) in chemical reactions, facilitating the transfer of reactants between aqueous and organic phases. Their u... read more 

ASTRID-Net: SE-enhanced triple attention deep learning framework for IoT and IIoT security.

Scientific reports Jan 21, 2026
The Internet of Things (IoT) and Industrial IoT (IIoT) have rapidly evolved, reshaping modern industries through intelligent automation and seamless real-time connectivity. Additionally, the inherent heterogeneity, limited resources, and distributed ... read more 

An artificial intelligence-driven synthesis planning platform (PhotoCat) for photocatalysis.

Communications chemistry Jan 21, 2026
While photocatalysis has emerged as a transformative tool in modern synthesis, AI-assisted reaction prediction faces significant challenges due to data limitations. We present PhotoCatDB - a curated, open-source database containing 26.7 K photocataly... read more 

A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support.

NPJ digital medicine Jan 21, 2026
Cranioplasty is associated with a substantial burden of postoperative complications. In this multicenter study, we developed a machine learning-based clinical decision-support tool to predict the risk of postoperative complications following craniopl... read more 

Detecting faulty lithium-ion cells in large-scale parallel battery packs using current distributions.

Communications engineering Jan 21, 2026
One of the main concerns affecting the uptake of battery packs is safety, particularly with respect to fires caused by cell faults. Mitigating possible risks from faults requires advances in battery management systems and an understanding of the dyna... read more 
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