Artificial Intelligence Medical Compendium

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

Showing 3,551 to 3,560 of 168,679 articles

WSS-CL: Weight Saliency Soft-Guided Contrastive Learning for Efficient Machine Unlearning Image Classification

arXiv Aug 6, 2025
Machine unlearning, the efficient deletion of the impact of specific data in a trained model, remains a challenging problem. Current machine unlearning approaches that focus primarily on data-centric or weight-based strategies frequently encounter ... read more 
Machine Learning

InfoQ: Mixed-Precision Quantization via Global Information Flow

arXiv Aug 6, 2025
Mixed-precision quantization (MPQ) is crucial for deploying deep neural networks on resource-constrained devices, but finding the optimal bit-width for each layer represents a complex combinatorial optimization problem. Current state-of-the-art met... read more 
Machine Learning

On the effectiveness of multimodal privileged knowledge distillation in two vision transformer based diagnostic applications

arXiv Aug 6, 2025
Deploying deep learning models in clinical practice often requires leveraging multiple data modalities, such as images, text, and structured data, to achieve robust and trustworthy decisions. However, not all modalities are always available at infe... read more 
Computer Vision and Pattern Recognition Machine Learning

Measuring Information Richness in Product Images: Implications for Online Sales

arXiv Aug 6, 2025
A common challenge for e-commerce sellers is to decide what product images to display on online shopping sites. In this paper, we propose and validate a novel metric, k-value, to quantify the information richness of an image set, and we further inv... read more 
Human-Computer Interaction

Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference

arXiv Aug 6, 2025
Artificial Intelligence (AI) conferences are essential for advancing research, sharing knowledge, and fostering academic community. However, their rapid expansion has rendered the centralized conference model increasingly unsustainable. This paper ... read more 
Computers and Society Artificial Intelligence Computation and Language

Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework

arXiv Aug 6, 2025
We propose 3D Super Resolution (3DSR), a novel 3D Gaussian-splatting-based super-resolution framework that leverages off-the-shelf diffusion-based 2D super-resolution models. 3DSR encourages 3D consistency across views via the use of an explicit 3D... read more 
Computer Vision and Pattern Recognition

SocialPulse: An On-Smartwatch System for Detecting Real-World Social Interactions

arXiv Aug 6, 2025
Social interactions are a fundamental part of daily life and play a critical role in well-being. As emerging technologies offer opportunities to unobtrusively monitor behavior, there is growing interest in using them to better understand social exp... read more 
Human-Computer Interaction

Toward automated assessment of conjunctival hyperemia: A semisupervised artificial intelligence approach.

Annals of the New York Academy of Sciences Aug 6, 2025
This paper develops an automated approach for conjunctival hyperemia grading from slit-lamp images using semisupervised learning. We conducted a retrospective study including slit-lamp images from two study sites. Two independent graders assessed the... read more 

Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation

arXiv Aug 6, 2025
In the semantic segmentation of remote sensing images, acquiring complete ground objects is critical for achieving precise analysis. However, this task is severely hindered by two major challenges: high intra-class variance and high inter-class sim... read more 
Computer Vision and Pattern Recognition Information Retrieval

S2M3: Split-and-Share Multi-Modal Models for Distributed Multi-Task Inference on the Edge

arXiv Aug 6, 2025
With the advancement of Artificial Intelligence (AI) towards multiple modalities (language, vision, speech, etc.), multi-modal models have increasingly been used across various applications (e.g., visual question answering or image generation/capti... read more 
Distributed, Parallel, and Cluster Computing
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