Artificial Intelligence Medical Compendium

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

Showing 3,161 to 3,170 of 168,416 articles

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

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

Privacy Risk Predictions Based on Fundamental Understanding of Personal Data and an Evolving Threat Landscape

arXiv Aug 6, 2025
It is difficult for individuals and organizations to protect personal information without a fundamental understanding of relative privacy risks. By analyzing over 5,000 empirical identity theft and fraud cases, this research identifies which types ... read more 
Machine Learning Cryptography and Security Social and Information Networks

Network intrusion detection model using wrapper based feature selection and multi head attention transformers.

Scientific reports Aug 6, 2025
Nowadays, many fields, such as healthcare, farming, factories, transportation, cities, and homes are connected via network devices. These systems are configured in open environments and are prone to malicious attacks. It is important to protect these... read more 

Compressing Large Language Models with PCA Without Performance Loss

arXiv Aug 6, 2025
We demonstrate that Principal Component Analysis (PCA), when applied in a structured manner, either to polar-transformed images or segment-wise to token sequences, enables extreme compression of neural models without sacrificing performance. Across... read more 
Computational Engineering, Finance, and Science Artificial Intelligence

Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation

arXiv Aug 6, 2025
Multimodal Recommender Systems aim to improve recommendation accuracy by integrating heterogeneous content, such as images and textual metadata. While effective, it remains unclear whether their gains stem from true multimodal understanding or incr... read more 
Information Retrieval Computation and Language Machine Learning

Clinical applications of hyperspectral imaging in gastroenterology and hepatology: A systematic review.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology Aug 6, 2025
BACKGROUND: Hyperspectral imaging (HSI), a high-throughput, three-dimensional technology initially developed for remote sensing, has recently garnered increasing interest in applications in gastroenterology and hepatology. We focus on the aspects of ... read more 

Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning

arXiv Aug 6, 2025
Depression is a widespread mental disorder that affects millions worldwide. While automated depression assessment shows promise, most studies rely on limited or non-clinically validated data, and often prioritize complex model design over real-worl... read more 
Computation and Language Artificial Intelligence

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 Risk Assessment Probability China

Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success

arXiv Aug 6, 2025
Interactive multimodal agents must convert raw visual observations into coherent sequences of language-conditioned actions -- a capability that current vision-language models (VLMs) still lack. Earlier reinforcement-learning (RL) efforts could, in ... read more 
Machine Learning Artificial Intelligence
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