Artificial Intelligence Medical Compendium

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

Showing 2,631 to 2,640 of 202,598 articles

USU-Corn-WeedDB: A UAV RGB Image Dataset for Multi-Species Weed Detection in Forage Corn

arXiv Jun 4, 2026
Weed pressure in forage corn production causes yield losses of up to 31.5%, yet site-specific weed management (SSWM) systems built on UAV imagery and deep learning remain constrained by the scarcity of field-representative training datasets. We prese... read more 
Computer Vision and Pattern Recognition

Compute-Optimal Network Design for Echocardiography Myocardial Segmentation and Perfusion Quantification using Neural Scaling Laws

arXiv Jun 4, 2026
Myocardial perfusion quantification using contrast-enhanced ultrasound offers a bedside non-ionizing alternative to nuclear imaging modalities. However, its clinical adoption is hindered by time-consuming manual labelling. Automated segmentation has ... read more 
Image and Video Processing cs.CV

Learn to Match: Two-Sided Matching with Temporally Extended Feedback

arXiv Jun 4, 2026
Two-sided matching markets often involve information that unfolds over time through interviews, repeated interaction, learning, and separation. Existing matching models typically reduce this process to immediate sub-Gaussian feedback about fixed pref... read more 
Machine Learning cs.GT cs.MA econ.TH

MedSIGHT: Towards Grounded Visual Comprehension in Medical Large Vision-Language Models

arXiv Jun 4, 2026
Medical large vision-language models (Med-LVLMs) have recently achieved remarkable progress in vision-language comprehension and medical image segmentation. However, existing models still struggle to unify these two capabilities, which is essential f... read more 
Computer Vision and Pattern Recognition

Almieyar-Oryx-BloomBench: A Bilingual Multimodal Benchmark for Cognitively Informed Evaluation of Vision-Language Models

arXiv Jun 4, 2026
Despite the rapid progress of Vision-Language Models (VLMs), the field lacks benchmarks that rigorously diagnose their true reasoning abilities and chart meaningful progress toward human-like multimodal intelligence. Most existing evaluations focus o... read more 
Computer Vision and Pattern Recognition cs.AI cs.CL cs.LG

Noise-Aware Visual Representation Learning for Medical Visual Question Answering

arXiv Jun 4, 2026
Medical visual question answering (Med-VQA) has strong potential for clinical decision support by enabling AI models to interpret medical images and answer clinically relevant queries. Recent approaches typically connect off-the-shelf vision encoders... read more 
Computer Vision and Pattern Recognition cs.AI

Dual Feature Decoupling for Fine-Grained OOD Detection

arXiv Jun 4, 2026
Out-of-distribution detection (OOD) is an indispensable technique when applying machine learning models to real-world scenarios. Most existing OOD detection methods have been developed under the idealized assumption of large inter-class distributiona... read more 
Computer Vision and Pattern Recognition

Multilingual Detection of Alzheimer's Disease from Speech: A Cross-Linguistic Transfer Learning Approach

arXiv Jun 4, 2026
The development of multilingual Alzheimer's Disease Dementia (AD) detection models presents significant challenges due to the resource-intensive and time-consuming nature of language-specific model training. We propose a novel solution using cross-la... read more 
Computation and Language

Balancing Image Compression and Generation with Bootstrapped Tokenization

arXiv Jun 4, 2026
Despite progress in image tokenization, standard methods encode redundant information by mixing all granularities within each token, thus redundancy persists between tokens. The mix of information of different granularity also complicates the trainin... read more 
Machine Learning cs.AI cs.GR

UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoning

arXiv Jun 4, 2026
Vision-language models (VLMs) excel on visual question answering and multimodal reasoning benchmarks. Yet their capability on ultra-resolution images - where critical evidence is tiny, subtle, spatially distant, or distributed - remains unclear. Exis... read more 
Computer Vision and Pattern Recognition
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