Artificial Intelligence Medical Compendium

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

Showing 32,421 to 32,430 of 221,076 articles

Language Prompt vs. Image Enhancement: Boosting Object Detection With CLIP in Hazy Environments

arXiv Apr 12, 2026
Object detection in hazy environments is challenging because degraded objects are nearly invisible and their semantics are weakened by environmental noise, making it difficult for detectors to identify. Common approaches involve image enhancement to ... read more 
Computer Vision and Pattern Recognition

LogitDynamics: Reliable ViT Error Detection from Layerwise Logit Trajectories

arXiv Apr 12, 2026
Reliable confidence estimation is critical when deploying vision models. We study error prediction: determining whether an image classifier's output is correct using only signals from a single forward pass. Motivated by internal-signal hallucination ... read more 
Computer Vision and Pattern Recognition

HiddenObjects: Scalable Diffusion-Distilled Spatial Priors for Object Placement

arXiv Apr 12, 2026
We propose a method to learn explicit, class-conditioned spatial priors for object placement in natural scenes by distilling the implicit placement knowledge encoded in text-conditioned diffusion models. Prior work relies either on manually annotated... read more 
Computer Vision and Pattern Recognition

Camyla: Scaling Autonomous Research in Medical Image Segmentation

arXiv Apr 12, 2026
We present Camyla, a system for fully autonomous research within the scientific domain of medical image segmentation. Camyla transforms raw datasets into literature-grounded research proposals, executable experiments, and complete manuscripts without... read more 
Artificial Intelligence cs.CV

Architecture-Agnostic Modality-Isolated Gated Fusion for Robust Multi-Modal Prostate MRI Segmentation

arXiv Apr 12, 2026
Multi-parametric prostate MRI -- combining T2-weighted, apparent diffusion coefficient, and high b-value diffusion-weighted sequences -- is central to non-invasive detection of clinically significant prostate cancer, yet in routine practice individua... read more 
Computer Vision and Pattern Recognition cs.AI

Turning Generators into Retrievers: Unlocking MLLMs for Natural Language-Guided Geo-Localization

arXiv Apr 12, 2026
Natural-language Guided Cross-view Geo-localization (NGCG) aims to retrieve geo-tagged satellite imagery using textual descriptions of ground scenes. While recent NGCG methods commonly rely on CLIP-style dual-encoder architectures, they often suffer ... read more 
Computer Vision and Pattern Recognition cs.AI

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark

arXiv Apr 12, 2026
Multimodal large language models (MLLMs) have advanced clinical tasks for common conditions, but their performance on rare diseases remains largely untested. In rare-disease scenarios, clinicians often lack prior clinical knowledge, forcing them to r... read more 
Computer Vision and Pattern Recognition

At FullTilt: Real-Time Open-Set 3D Macromolecule Detection Directly from Tilted 2D Projections

arXiv Apr 12, 2026
Open-set 3D macromolecule detection in cryogenic electron tomography eliminates the need for target-specific model retraining. However, strict VRAM constraints prohibit processing an entire 3D tomogram, forcing current methods to rely on slow sliding... read more 
Computer Vision and Pattern Recognition

Uncertainty-quantified Pulse Signal Recovery from Facial Video using Regularized Stochastic Interpolants

arXiv Apr 12, 2026
Imaging Photoplethysmography (iPPG), an optical procedure which recovers a human's blood volume pulse (BVP) waveform using pixel readout from a camera, is an exciting research field with many researchers performing clinical studies of iPPG algorithms... read more 
Computer Vision and Pattern Recognition

Learning Preference-Based Objectives from Clinical Narratives for Sequential Treatment Decision-Making

arXiv Apr 12, 2026
Designing reward functions remains a central challenge in reinforcement learning (RL) for healthcare, where outcomes are sparse, delayed, and difficult to specify. While structured data capture physiological states, they often fail to reflect the ove... read more 
Artificial Intelligence cs.LG
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