Artificial Intelligence Medical Compendium

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

Showing 10,051 to 10,060 of 208,614 articles

Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening

arXiv May 25, 2026
Modern deep learning offers powerful tools for automated retinal screening, but it remains unclear how different visual model families compare in realistic multi-disease settings and under domain shift. In this work, we benchmark twelve architectures... read more 
Computer Vision and Pattern Recognition cs.LG

VesselSim: learning 3D blood vessel segmentation without expert annotations

arXiv May 25, 2026
Blood vessel segmentation is a core task in medical image analysis for the care of vascular diseases and surgical planning, yet the challenges of providing expert vascular annotations pose a major obstacle for the progress of related deep learning te... read more 
Computer Vision and Pattern Recognition cs.AI

Frequency-Guided Fusion For RGB-Thermal Semantic Segmentation

arXiv May 25, 2026
Semantic segmentation in complex environments such as urban driving scenes remains challenging under adverse lighting conditions, where RGB images alone provide insufficient information. RGB-Thermal fusion leverages the complementary strengths of vis... read more 
Computer Vision and Pattern Recognition

Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays improve performance beyond EHR signals?

arXiv May 25, 2026
Early prediction of respiratory failure is critical for timely clinical intervention in intensive care units. Existing electronic health record (EHR)-based models can continuously monitor physiologic deterioration, but they may not fully capture pulm... read more 
Image and Video Processing cs.AI cs.LG

LongAV-Compass: Towards Unified Evaluation of Minute-Scale Audio-Visual Generation Across T2AV, I2AV, and V2AV

arXiv May 25, 2026
Audio-visual generation is rapidly advancing from short clips to minute-long content, while existing evaluation protocols remain largely confined to short-form settings. Existing benchmarks primarily focus on 5--10 second text-conditioned generation ... read more 
Computer Vision and Pattern Recognition cs.MM cs.SD

RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation

arXiv May 25, 2026
Success in generative modeling across language, image, and video demonstrates that large, well-curated datasets are the key driver for building capable models. 3D Human motion, however, has lagged behind, constrained by an unsatisfying choice between... read more 
Computer Vision and Pattern Recognition

Geometry-Aware Representation Denoising for Robust Multi-view 3D Reconstruction

arXiv May 25, 2026
Multi-view 3D reconstruction has achieved remarkable progress with the advent of feed-forward 3D reconstruction models. However, these models are typically trained and evaluated under ideal, degradation-free imaging conditions, whereas real-world obs... read more 
Computer Vision and Pattern Recognition

Global Structure-from-Motion Meets Feedforward Reconstruction

arXiv May 25, 2026
Structure-from-Motion -- the process of simultaneously estimating camera poses and 3D scene structure from a collection of images -- remains a central challenge in computer vision, with many open problems yet to be solved. Recent advances in feedforw... read more 
Computer Vision and Pattern Recognition

On the Role of Inductive Bias in Time-Series Pretraining: A Case Study in Learning Generalizable Representations for Clinical Time Series

arXiv May 25, 2026
Clinical time-series learning is routinely constrained by small, heterogeneous cohorts and protocol drift, while its downstream use spans both classification (e.g., pathology diagnosis) and regression (e.g., temporal forecasting). These constraints m... read more 
Machine Learning

Co-folding model guided by structural proteomics

arXiv May 25, 2026
Protein structure generative models excel at predicting single protein static structures from sequence, but routinely fail to capture the correct conformational state of protein complexes, critical for protein design and induced proximity modalities ... read more 
Machine Learning cs.AI q-bio.BM
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