Artificial Intelligence Medical Compendium

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

Showing 21,761 to 21,770 of 216,627 articles

Uncertainty Estimation via Hyperspherical Confidence Mapping

arXiv
Quantifying uncertainty in neural network predictions is essential for high-stakes domains such as autonomous driving, healthcare, and manufacturing. While existing approaches often depend on costly sampling or restrictive distributional assumptions,... read more 

Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters

arXiv
Segment Anything Model 2 (SAM2) demonstrated impressive zero-shot capabilities on natural images but faces challenges in biomedical segmentation due to significant domain shifts and prompt dependency. To address these limitations, we propose a prompt... read more 

BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine

arXiv
Translational medicine turns underspecified development goals into evidence synthesis that must combine literature, trials, patents, and quantitative multi-omics analysis while preserving identifiers, uncertainty, and retrievable provenance. General-... read more 

iPhoneBlur: A Difficulty-Stratified Benchmark for Consumer Device Motion Deblurring

arXiv
Motion blur restoration on consumer mobile devices is typically evaluated using aggregate metrics that obscure performance variation across blur difficulty, masking model behavior under real deployment conditions. This work introduces iPhoneBlur, a d... read more 

Gaussian mixture models in Hilbert spaces via kernel methods

arXiv
Modern datasets across many disciplines increasingly consist of time-evolving, potentially infinite-dimensional random objects, such as dynamic functional data, which are naturally modeled in Hilbert spaces. In these settings, characterizing probabil... read more 

Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models

arXiv
Purely RGB-based vision models often fail to provide reliable cues in challenging scenarios such as nighttime and fog, leading to degraded performance and safety risks. Infrared imaging captures heat-emitting sources and provides critical complementa... read more 

T2I-VeRW: Part-level Fine-grained Perception for Text-to-Image Vehicle Retrieval

arXiv
Vehicle Re-identification (Re-ID) aims to retrieve the most similar image to a given query from images captured by non-overlapping cameras. Extending vehicle Re-ID from image-only queries to text-based queries enables retrieval in real-world scenario... read more 

Quantum Kernels for Audio Deepfake Detection Using Spectrogram Patch Features

arXiv
Quantum machine learning has emerged as a promising tool for pattern recognition, yet many audio-focused approaches still treat spectrograms as generic images and do not explicitly exploit their time-frequency structure. We propose Q-Patch, a quantum... read more 

Domain Generalization through Spatial Relation Induction over Visual Primitives

arXiv
Domain generalization requires identifying stable representations that support reliable classification across domains. Most existing methods seek such stability through improving the training process, for example, through model selection strategies, ... read more 

Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization

arXiv
As a key technique in multi-modal processing, infrared and visible image fusion (IVIF) plays a crucial role in integrating complementary spectral information for visual enhancement and downstream vision tasks. Despite remarkable progress, existing me... read more