Artificial Intelligence Medical Compendium

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

Showing 2,941 to 2,950 of 168,134 articles

What Holds Back Open-Vocabulary Segmentation?

arXiv Aug 6, 2025
Standard segmentation setups are unable to deliver models that can recognize concepts outside the training taxonomy. Open-vocabulary approaches promise to close this gap through language-image pretraining on billions of image-caption pairs. Unfortu... read more 
Computer Vision and Pattern Recognition

Probability-Based Early Warning for Seasonal Influenza in China: Model Development Study.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Seasonal influenza is a major global public health concern, leading to escalated morbidity and mortality rates. Traditional early warning models rely on binary (0/1) classification methods, which issue alerts only when predefined threshol... read more 
Humans Machine Learning Influenza, Human Seasons Probability Risk Assessment China

Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation.

Radiology. Artificial intelligence Aug 6, 2025
Purpose To develop and validate MRSegmentator, a retrospective cross-modality deep learning model for multiorgan segmentation of MRI scans. Materials and Methods This retrospective study trained MRSegmentator on 1,200 manually annotated UK Biobank D... read more 

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case

arXiv Aug 6, 2025
Collecting real-world data for rare high-risk scenarios, long-tailed driving events, and complex interactions remains challenging, leading to poor performance of existing autonomous driving systems in these critical situations. In this paper, we pr... read more 
Robotics Computer Vision and Pattern Recognition

Adaptive context biasing in transformer-based ASR systems.

Scientific reports Aug 6, 2025
With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. However, the incorporation of bias layers introduces additional... read more 

Quasi-Clique Discovery via Energy Diffusion

arXiv Aug 6, 2025
Discovering quasi-cliques -- subgraphs with edge density no less than a given threshold -- is a fundamental task in graph mining, with broad applications in social networks, bioinformatics, and e-commerce. Existing heuristics often rely on greedy r... read more 
Social and Information Networks Artificial Intelligence

Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images

arXiv Aug 6, 2025
Estimating the nutritional content of food from images is a critical task with significant implications for health and dietary monitoring. This is challenging, especially when relying solely on 2D images, due to the variability in food presentation... read more 
Computer Vision and Pattern Recognition

Metric Learning in an RKHS

arXiv Aug 6, 2025
Metric learning from a set of triplet comparisons in the form of "Do you think item h is more similar to item i or item j?", indicating similarity and differences between items, plays a key role in various applications including image retrieval, re... read more 
Machine Learning Artificial Intelligence Machine Learning

Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model

arXiv Aug 6, 2025
Concept Erasure, which aims to prevent pretrained text-to-image models from generating content associated with semantic-harmful concepts (i.e., target concepts), is getting increased attention. State-of-the-art methods formulate this task as an opt... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning

How Does Bilateral Ear Symmetry Affect Deep Ear Features?

arXiv Aug 6, 2025
Ear recognition has gained attention as a reliable biometric technique due to the distinctive characteristics of human ears. With the increasing availability of large-scale datasets, convolutional neural networks (CNNs) have been widely adopted to ... read more 
Computer Vision and Pattern Recognition
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