Artificial Intelligence Medical Compendium

Multi-modal hashing offers advantages in large-scale multimedia retrieval by integrating multi-modal features and generating compact binary codes for efficient computation. However, existing methods often assume complete modalities and labels, overlo... read more 

Deep learning methods have recently begun exploiting frequency information to improve remote sensing change detection. However, they typically aggregate high- and low-frequency components for detection without explicitly distinguishing their respecti... read more 

Active Domain Adaptation (ADA) aims to significantly enhance model adaptation performance by labeling a small portion of target domain samples. While recent studies have focused exten sively on selecting target domain samples through active sampling ... read more 

The learning mechanisms by which humans acquire internal representations of objects are not fully understood. Deep neural networks (DNNs) have emerged as a useful tool for investigating this question, as they have internal representations similar to ... read more 

Deep multi-view contrastive clustering has gained widespread attention due to its superior ability to classify samples and explore consistent information. However, existing models still suffer from the following limitations: 1) the high complexity of... read more 

Current 3D point-cloud semantic segmentation employs few-shot learning to lessen reliance on large-scale data. Previous prototype-based methods typically extract and refine prototypes from support and query sets, which are followed by the cosine simi... read more 

This paper tackles the critical challenge of mutagenicity prediction by introducing three approaches. First, we demonstrate that 2D scattering coefficients derived from molecular images outperform traditional molecular descriptors. Second, we propose... read more 

Object Re-Identification (ReID) is a fundamental task in computer vision, seeking to retrieve specific objects across diverse images. However, some non-identity cues (also known as confounders), such as background and color, often entangle discrimina... read more 

OBJECTIVE: To evaluate the performance of commercially available AI tools in airway evaluation in clinical conditions. STUDY DESIGN: 100 anonymized cone beam computed tomography datasets obtained from the records of the University of Iowa were orient... read more 

Perioperative acute kidney injury (AKI) is a frequent complication that affects outcomes well beyond the perioperative period. Its mechanisms remain incompletely understood, arising from the interplay of comorbidities, surgical stress, and hemodynami... read more