Artificial Intelligence Medical Compendium

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

Showing 3,401 to 3,410 of 168,679 articles

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models

arXiv Aug 6, 2025
As deep learning-based, data-driven information extraction systems become increasingly integrated into modern document processing workflows, one primary concern is the risk of malicious leakage of sensitive private data from these systems. While so... read more 
Cryptography and Security

Query Attribute Modeling: Improving search relevance with Semantic Search and Meta Data Filtering

arXiv Aug 6, 2025
This study introduces Query Attribute Modeling (QAM), a hybrid framework that enhances search precision and relevance by decomposing open text queries into structured metadata tags and semantic elements. QAM addresses traditional search limitations... read more 
Information Retrieval Artificial Intelligence Computation and Language Machine Learning

Empowering Nanoscale Connectivity through Molecular Communication: A Case Study of Virus Infection

arXiv Aug 6, 2025
The Internet of Bio-Nano Things (IoBNT), envisioned as a revolutionary healthcare paradigm, shows promise for epidemic control. This paper explores the potential of using molecular communication (MC) to address the challenges in constructing IoBNT ... read more 
Networking and Internet Architecture

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

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis

arXiv Aug 6, 2025
Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learning-based computer-aided diagnosis (CAD) systems have shown promise in... read more 
Computer Vision and Pattern Recognition

Optimization of sliding control parameters for a 3-dof robot arm using genetic algorithm (GA)

arXiv Aug 6, 2025
This paper presents a method for optimizing the sliding mode control (SMC) parameter for a robot manipulator applying a genetic algorithm (GA). The objective of the SMC is to achieve precise and consistent tracking of the trajectory of the robot ma... read more 
Robotics Neural and Evolutionary Computing Systems and Control Systems and Control

Unveiling Twist Domains in Monolayer MoS through 4D-STEM and Unsupervised Machine Learning.

Small methods Aug 6, 2025
Dichalcogenides, such as molybdenum disulfide (MoS), are being studied extensively due to their 2D feature and various material properties. Although crystal structures are critical for applications, conventional atomic structure analyses have a limit... read more 

Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi... read more 
Neuroimaging Reproducibility of Results Models, Statistical Humans Machine Learning

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Scientific reports Aug 6, 2025
Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle stud... read more 
Humans Algorithms Computer Simulation Calcium Gadolinium Phantoms, Imaging Iodine Image Processing, Computer-Assisted Tomography, X-Ray Computed Deep Learning

ATLASS: An AnaTomicaLly-Aware Self-Supervised Learning Framework for Generalizable Retinal Disease Detection.

IEEE journal of biomedical and health informatics Aug 6, 2025
Medical imaging, particularly retinal fundus photography, plays a crucial role in early disease detection and treatment for various ocular disorders. However, the development of robust diagnostic systems using deep learning remains constrained by the... read more 
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