Artificial Intelligence Medical Compendium

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

Showing 31,931 to 31,940 of 220,797 articles

Interpretable DNA Sequence Classification via Dynamic Feature Generation in Decision Trees

arXiv Apr 13, 2026
The analysis of DNA sequences has become critical in numerous fields, from evolutionary biology to understanding gene regulation and disease mechanisms. While deep neural networks can achieve remarkable predictive performance, they typically operate ... read more 
Machine Learning cs.AI q-bio.GN

Privacy-Preserving Structureless Visual Localization via Image Obfuscation

arXiv Apr 13, 2026
Visual localization is the task of estimating the camera pose of an image relative to a scene representation. In practice, visual localization systems are often cloud-based. Naturally, this raises privacy concerns in terms of revealing private detail... read more 
Computer Vision and Pattern Recognition

OpenTME: An Open Dataset of AI-powered H&E Tumor Microenvironment Profiles from TCGA

arXiv Apr 13, 2026
The tumor microenvironment (TME) plays a central role in cancer progression, treatment response, and patient outcomes, yet large-scale, consistent, and quantitative TME characterization from routine hematoxylin and eosin (H&E)-stained histopathology ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG q-bio.QM

PC-MIL: Decoupling Feature Resolution from Supervision Scale in Whole-Slide Learning

arXiv Apr 13, 2026
Whole-slide image (WSI) classification in computational pathology is commonly formulated as slide-level Multiple Instance Learning (MIL) with a single global bag representation. However, slide-level MIL is fundamentally underconstrained: optimizing o... read more 
Computer Vision and Pattern Recognition

PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation

arXiv Apr 13, 2026
Visual Foundation Models (VFMs) such as the Segment Anything Model (SAM) have significantly advanced broad use of image segmentation. However, SAM and its variants necessitate substantial manual effort for prompt generation and additional training fo... read more 
Computer Vision and Pattern Recognition cs.AI

A dataset of high-resolution snapshots of the viscous sublayer from direct numerical simulation of a turbulent boundary layer up to Re θ=2400.

Data in brief Apr 13, 2026
This dataset comprises time-resolved 3D fluid field data (pressure and the three velocity components) from the viscous sublayer of a canonical zero-pressure-gradient turbulent boundary layer. In total it contains 16,384 snapshots, amounting to approx... read more 

Cosmic spike removal based on multi-feature fusion for long-time integrated Raman spectral detection.

Analytica chimica acta Apr 13, 2026
BACKGROUND: Raman spectral detection is commonly performed with a relatively long integration time to suppress the dominant interference of random detecting noise for better signal-to-noise ratio, while inevitably increasing the occurrence probabilit... read more 

Automated Imaging Differentiation for Dementia: Including Alzheimer Disease Dementia and Dementia with Lewy Bodies.

Neurology open access Apr 13, 2026
BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with Lewy bodies (DLB) remains a challenge. Free-water imaging has been investigated in neurodegenerative diseases and was found to be associated with neuro... read more 

Using Large Language Models to Determine Reasons for Missed Colon Cancer Screening Follow-Up.

Joint Commission journal on quality and patient safety Apr 13, 2026
BACKGROUND: Identifying reasons for missed preventive care, such as follow-up colonoscopy after an abnormal stool-based colon cancer screening test, is critical for quality improvement initiatives. However, manual chart review is time-consuming and c... read more 

Evaluation of the acceptance of artificial intelligence technologies in health with technology acceptance model.

Journal of health organization and management Apr 13, 2026
PURPOSE: This study aimed to assess healthcare professionals' acceptance of artificial intelligence technologies within the framework of the Technology Acceptance Model. DESIGN/METHODOLOGY/APPROACH: Data were collected from 376 healthcare workers bet... read more 
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