Artificial Intelligence Medical Compendium

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

Showing 24,561 to 24,570 of 217,425 articles

ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection

arXiv Apr 29, 2026
Transformer-based architectures have established a dominant paradigm in global semantic perception; however, they remain fundamentally constrained by the profound spatial heterogeneity inherent in natural images. Specifically, the imposition of a uni... read more 
Computer Vision and Pattern Recognition cs.AI

A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification

arXiv Apr 29, 2026
Despite being resource-intensive to train, 3D convolutional neural networks (CNNs) have been the standard approach to classify CT and MRI scans. Recent work suggests that deep multiple instance learning (MIL) may be a more efficient alternative for 3... read more 
Machine Learning

Asynchronous Federated Unlearning with Invariance Calibration for Medical Imaging

arXiv Apr 29, 2026
Federated Unlearning (FU) is an emerging paradigm in Federated Learning (FL) that enables participating clients to fully remove their contributions from a trained global model, driven by data protection regulations that mandate the right to be forgot... read more 
Machine Learning

Edge AI for Automotive Vulnerable Road User Safety: Deployable Detection via Knowledge Distillation

arXiv Apr 29, 2026
Deploying accurate object detection for Vulnerable Road User (VRU) safety on edge hardware requires balancing model capacity against computational constraints. Large models achieve high accuracy but fail under INT8 quantization required for edge depl... read more 
Computer Vision and Pattern Recognition cs.LG cs.RO eess.IV

KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment

arXiv Apr 29, 2026
We present KAYRA, an end-to-end karyotyping system that operates inside the operational constraints of a clinical cytogenetic laboratory. KAYRA is architected as a containerized microservice pipeline whose ML stack combines an EfficientNet-B5 + U-Net... read more 
Machine Learning cs.CV

HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering

arXiv Apr 29, 2026
Patient portals now give individuals direct access to their electronic health records (EHRs), yet access alone does not ensure patients understand or act on the complex clinical information contained in these records. The ArchEHR-QA 2026 shared task ... read more 
Computation and Language cs.LG

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

arXiv Apr 29, 2026
Synthesizing a target concept from a single reference image is challenging in diffusion-based personalized text-to-image generation, particularly for sticker personalization where prompts often require explicit attribute edits. With only one referenc... read more 
Computer Vision and Pattern Recognition

Multiple Additive Neural Networks for Structured and Unstructured Data

arXiv Apr 29, 2026
This paper extends and explains the Multiple Additive Neural Networks (MANN) methodology, an enhancement to the traditional Gradient Boosting framework, utilizing nearly shallow neural networks instead of decision trees as base learners. This innovat... read more 
Machine Learning

Graph-based Semantic Calibration Network for Unaligned UAV RGBT Image Semantic Segmentation and A Large-scale Benchmark

arXiv Apr 29, 2026
Fine-grained RGBT image semantic segmentation is crucial for all-weather unmanned aerial vehicle (UAV) scene understanding. However, UAV RGBT semantic segmentation faces two coupled challenges: cross-modal spatial misalignment caused by sensor parall... read more 
Computer Vision and Pattern Recognition

Color-Encoded Illumination for High-Speed Volumetric Scene Reconstruction

arXiv Apr 29, 2026
The task of capturing and rendering 3D dynamic scenes from 2D images has become increasingly popular in recent years. However, most conventional cameras are bandwidth-limited to 30-60 FPS, restricting these methods to static or slowly evolving scenes... read more 
Computer Vision and Pattern Recognition
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