Artificial Intelligence Medical Compendium

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

Showing 39,661 to 39,670 of 223,737 articles

Integrated ore classification using stand-alone and hybridised machine learning algorithms.

Scientific reports Mar 23, 2026
A state-of-the-art, robust classification model using artificial intelligence (AI) algorithms was developed in this study to estimate the gold ore classes based on trace elements measured by inductively coupled plasma (ICP). This approach involves th... read more 

AI-enhanced techno-economic and environmental optimization for nearly zero-energy building retrofitting: a case study of university campus.

Scientific reports Mar 23, 2026
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Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model enhances proteome coverage.

Nature methods Mar 23, 2026
Bottom-up proteomics relies predominantly on collision-induced dissociation (CID) for peptide sequencing, which has achieved remarkable sensitivity and efficiency now enabling single-cell analysis. However, CID shows limitations in characterizing pos... read more 

Identifying Predictive Biomarkers and Immune Infiltration Features in Endometriosis.

Reproductive sciences (Thousand Oaks, Calif.) Mar 23, 2026
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Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.

Journal of imaging informatics in medicine Mar 23, 2026
Extubation failure remains a major challenge in critically ill patients and is associated with adverse clinical outcomes. Current extubation decisions rely heavily on weaning tests and subjective interpretation of chest radiographs. This study aimed ... read more 

Attention‑Guided Hybrid Deep Learning with Fibonacci and Annular Ring Handcrafted Features for Glaucoma Detection in Retinal Images.

Journal of imaging informatics in medicine Mar 23, 2026
Glaucoma, a major contributor to irreversible blindness, often progresses silently, making early detection vital. Manual interpretation of retinal fundus images requires expertise and is prone to variability across clinicians. To solve the issue, a n... read more 

Automated Shoulder Radiograph Quality Review to Support Efficient Workflow in the Emergency Department: The SQUIRE Deep Learning Ensemble.

Journal of imaging informatics in medicine Mar 23, 2026
Suboptimal shoulder radiographs are a persistent challenge, leading to unnecessary radiation exposure, workflow delays, and increased costs from repeat imaging. Repeat imaging is most often required due to anatomy cutoff or suboptimal patient positio... read more 

Determining the percentage of recycled plastic content in a plastic product.

Communications engineering Mar 23, 2026
As global plastic waste continues to rise, accurately identifying and quantifying recycled content in plastic products is critical for developing a circular economy. At present, there is no method that can accurately determine the percentage of recyc... read more 

A deep learning approach for the diagnosis and recurrence prediction of OKC.

Scientific reports Mar 23, 2026
Odontogenic Keratocyst (OKC) is a benign jaw tumor characterized by a high recurrence rate. However, its clinical diagnosis presents significant challenges due to complex pathological morphologies and inconspicuous early symptoms. In this paper, we p... read more 

Predicting the performance of a graphene-based patch antenna using a machine learning model for terahertz applications.

Scientific reports Mar 23, 2026
This article presents the design of a graphene-based microstrip patch antenna, operating frequency range: (1-5) THz for terahertz (THz) applications. This paper presents simulations and a machine learning (ML) approach to characterize the performance... read more 
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