Artificial Intelligence Medical Compendium

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

Showing 37,281 to 37,290 of 223,469 articles

Deep learning-based visual algorithms for identity and action recognition in engineering practical courses.

Scientific reports Mar 31, 2026
Engineering practice is an important component of engineering education. In this teaching scenario, students are frequently moving around, making the identification of their identities and actions using computer vision methods a prominent and ongoing... read more 

Artificial intelligence empowers the upgrading of intelligent quantitative assessment for white matter hyperintensities: opportunities and challenges.

European radiology Mar 31, 2026
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3D deep learning model to predict the recurrence of stage IA invasive lung adenocarcinoma after sub-lobar resection: a multicenter retrospective cohort study.

Journal of imaging informatics in medicine Mar 31, 2026
The purpose of this study was to investigate the efficacy of a three-dimensional (3D) deep learning (DL) model in predicting recurrence risk of stage IA invasive lung adenocarcinoma (ILADC) after sub-lobar resection (SLR). A total of 287 stage IA ILA... read more 

Automatic Detection of Multiple Artifacts in Computed Tomography Images by Self-Attention Guided Vision Transformer.

Journal of imaging informatics in medicine Mar 31, 2026
Automated detection of image artifacts is crucial for enhancing the efficiency and quality of computed tomography (CT) workflows. This study presents a vision transformer (ViT)-based model for the simultaneous classification and localization of multi... read more 

A Multitask Deep Learning Approach for Tumor Segmentation and Morphological Quantification in Acral Melanoma Whole-Slide Images.

Journal of imaging informatics in medicine Mar 31, 2026
This study presents an integrated multitask deep learning framework for the automated analysis of acral melanoma from whole-slide images (WSIs). We constructed a multiscale WSI dataset with pixel-level annotations and developed a pipeline that sequen... read more 

Perspectives from machine learning and multi-omics to decoding the effects of VDAC2 malignant subsets on tumor evolution.

NPJ precision oncology Mar 31, 2026
VDAC2's known role in cancer and immune regulation via enhancing the CD8+ T cell-mediated killing, and it is worth systematically digging out the role of VDAC2 in pan-cancer based on this research. Bulk RNA sequencing, single-cell RNA sequencing, and... read more 

A hybrid spiking convolutional neural framework with extreme learning machine for enhanced anomaly detection in network security.

Scientific reports Mar 31, 2026
Real-time cybersecurity systems continue to have a significant problem in detecting breaches in dynamic and highly unbalanced network streams. An online evolving spiking neural network (OeSNN-UAD) and an integrated extreme learning machine (ELM) as a... read more 

Enhanced visual-inertial SLAM Using SuperPoint and semantic geometric dynamic feature detection.

Scientific reports Mar 31, 2026
Visual-inertial simultaneous localization and mapping (VI-SLAM) is fundamental for unmanned driving and VR. However, traditional feature-based SLAM systems rely on hand-crafted features and lack dedicated methods for handling dynamic objects, which r... read more 

A Systematic Review and Meta-analysis of Externally Validated Epic Clinical Decision Support Tools.

Journal of general internal medicine Mar 31, 2026
BACKGROUND: Clinical Decision Support (CDS) tools integrated with Electronic Health Records increasingly guide clinical practice. Epic Systems, storing more than 325 million patient records, offers various proprietary predictive models to healthcare ... read more 

Rapid and noninvasive artificial intelligence-assisted diagnostic method for oral squamous cell carcinoma.

NPJ digital medicine Mar 31, 2026
Oral squamous cell carcinoma (OSCC) remains the most common head and neck malignancy, for which early detection is critical yet challenging with current invasive methods. This study aimed to establish a comprehensive diagnostic framework for OSCC by ... read more 
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