Artificial Intelligence Medical Compendium

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

Showing 2,211 to 2,220 of 166,891 articles

RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging

arXiv Aug 5, 2025
Regression Mean (RegMean), an approach that formulates model merging as a linear regression problem, aims to find the optimal weights for each linear layer in the merge model by minimizing the discrepancy in predictions between the merge and candid... read more 
Machine Learning

Dynamic and interpretable deep learning model for predicting respiratory failure following cardiac surgery.

BMC anesthesiology Aug 5, 2025
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Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation

arXiv Aug 5, 2025
We introduce Skywork UniPic, a 1.5 billion-parameter autoregressive model that unifies image understanding, text-to-image generation, and image editing within a single architecture-eliminating the need for task-specific adapters or inter-module con... read more 
Computer Vision and Pattern Recognition

CORE-ReID: Comprehensive Optimization and Refinement through Ensemble fusion in Domain Adaptation for person re-identification

arXiv Aug 5, 2025
This study introduces a novel framework, "Comprehensive Optimization and Refinement through Ensemble Fusion in Domain Adaptation for Person Re-identification (CORE-ReID)", to address an Unsupervised Domain Adaptation (UDA) for Person Re-identificat... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes

arXiv Aug 5, 2025
Terrain elevation modeling for off-road navigation aims to accurately estimate changes in terrain geometry in real-time and quantify the corresponding uncertainties. Having precise estimations and uncertainties plays a crucial role in planning and ... read more 
Robotics

Draw Your Mind: Personalized Generation via Condition-Level Modeling in Text-to-Image Diffusion Models

arXiv Aug 5, 2025
Personalized generation in T2I diffusion models aims to naturally incorporate individual user preferences into the generation process with minimal user intervention. However, existing studies primarily rely on prompt-level modeling with large-scale... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language

Open-Vocabulary HOI Detection with Interaction-aware Prompt and Concept Calibration

arXiv Aug 5, 2025
Open Vocabulary Human-Object Interaction (HOI) detection aims to detect interactions between humans and objects while generalizing to novel interaction classes beyond the training set. Current methods often rely on Vision and Language Models (VLMs)... read more 
Computer Vision and Pattern Recognition

Machine learning algorithms to predict the risk of admission to intensive care units in HIV-infected individuals: a single-centre study.

Virology journal Aug 5, 2025
Antiretroviral therapy (ART) has transformed HIV from a rapidly progressive and fatal disease to a chronic disease with limited impact on life expectancy. However, people living with HIV(PLWHs) faced high critical illness risk due to the increased pr... read more 
Female Risk Factors Hospitalization Humans Machine Learning Neural Networks, Computer Algorithms Intensive Care Units Risk Assessment HIV Infections Adult ROC Curve Male Middle Aged

Evaluating the Predictive Value of Preoperative MRI for Erectile Dysfunction Following Radical Prostatectomy

arXiv Aug 5, 2025
Accurate preoperative prediction of erectile dysfunction (ED) is important for counseling patients undergoing radical prostatectomy. While clinical features are established predictors, the added value of preoperative MRI remains underexplored. We i... read more 
Image and Video Processing Computer Vision and Pattern Recognition

MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation

arXiv Aug 5, 2025
Cross-domain Few-shot Medical Image Segmentation (CD-FSMIS) is a potential solution for segmenting medical images with limited annotation using knowledge from other domains. The significant performance of current CD-FSMIS models relies on the heavi... read more 
Computer Vision and Pattern Recognition
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