Artificial Intelligence Medical Compendium

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

Showing 33,681 to 33,690 of 221,422 articles

AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors

arXiv Apr 8, 2026
Recent feed-forward Gaussian reconstruction models adopt a pixel-aligned formulation that maps each 2D pixel to a 3D Gaussian, entangling Gaussian representations tightly with the input images. In this paper, we propose AnchorSplat, a novel feed-forw... read more 
Computer Vision and Pattern Recognition

Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering

arXiv Apr 8, 2026
In electronic health records (EHRs), clustering patients and distinguishing disease subtypes are key tasks to elucidate pathophysiology and aid clinical decision-making. However, clustering in healthcare informatics is still based on traditional meth... read more 
Machine Learning

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation

arXiv Apr 8, 2026
We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style image forgery detection and localisation, in response to recent advances in open-access image generation models that raise concerns about falsifying visu... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM eess.IV

Assessing the Added Value of Onboard Earth Observation Processing with the IRIDE HEO Service Segment

arXiv Apr 8, 2026
Current operational Earth Observation (EO) services, including the Copernicus Emergency Management Service (CEMS), the European Forest Fire Information System (EFFIS), and the Copernicus Land Monitoring Service (CLMS), rely primarily on ground-based ... read more 
Computer Vision and Pattern Recognition cs.AI cs.AR cs.ET

Accuracy Improvement of Semi-Supervised Segmentation Using Supervised ClassMix and Sup-Unsup Feature Discriminator

arXiv Apr 8, 2026
In semantic segmentation, the creation of pixel-level labels for training data incurs significant costs. To address this problem, semi-supervised learning, which utilizes a small number of labeled images alongside unlabeled images to enhance the perf... read more 
Computer Vision and Pattern Recognition cs.LG

A Utility-preserving De-identification Pipeline for Cross-hospital Radiology Data Sharing

arXiv Apr 8, 2026
Large-scale radiology data are critical for developing robust medical AI systems. However, sharing such data across hospitals remains heavily constrained by privacy concerns. Existing de-identification research in radiology mainly focus on removing i... read more 
Computer Vision and Pattern Recognition

CSA-Graphs: A Privacy-Preserving Structural Dataset for Child Sexual Abuse Research

arXiv Apr 8, 2026
Child Sexual Abuse Imagery (CSAI) classification is an important yet challenging problem for computer vision research due to the strict legal and ethical restrictions that prevent the public sharing of CSAI datasets. This limitation hinders reproduci... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

USCNet: Transformer-Based Multimodal Fusion with Segmentation Guidance for Urolithiasis Classification

arXiv Apr 8, 2026
Kidney stone disease ranks among the most prevalent conditions in urology, and understanding the composition of these stones is essential for creating personalized treatment plans and preventing recurrence. Current methods for analyzing kidney stones... read more 
Computer Vision and Pattern Recognition

Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering

arXiv Apr 8, 2026
Knowledge-based visual question answering (KB-VQA) requires vision-language models to understand images and use external knowledge, especially for rare entities and long-tail facts. Most existing retrieval-augmented generation (RAG) methods adopt a f... read more 
Computer Vision and Pattern Recognition

Learning to Search: A Decision-Based Agent for Knowledge-Based Visual Question Answering

arXiv Apr 8, 2026
Knowledge-based visual question answering (KB-VQA) requires vision-language models to understand images and use external knowledge, especially for rare entities and long-tail facts. Most existing retrieval-augmented generation (RAG) methods adopt a f... read more 
Computer Vision and Pattern Recognition
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