Artificial Intelligence Medical Compendium

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

Showing 3,141 to 3,150 of 168,416 articles

Towards interpretable emotion recognition: Identifying key features with machine learning

arXiv Aug 6, 2025
Unsupervised methods, such as wav2vec2 and HuBERT, have achieved state-of-the-art performance in audio tasks, leading to a shift away from research on interpretable features. However, the lack of interpretability in these methods limits their appli... read more 
Audio and Speech Processing Sound

A Machine Learning-Based Prognostication Model Enhances Prediction of Early Hepatic Encephalopathy in Patients With Noncancer-Related Cirrhosis: Multicenter Longitudinal Cohort Study in Taiwan.

JMIR medical informatics Aug 6, 2025
BACKGROUND: Hepatic encephalopathy (HE) contributes significantly to mortality among patients with liver cirrhosis. Early prediction of HE is essential for clinical decision-making, yet remains challenging-particularly in noncancer-related cirrhosis ... read more 
Aged Adult Male Retrospective Studies Female Machine Learning Longitudinal Studies Prognosis Taiwan Hepatic Encephalopathy Humans Middle Aged Liver Cirrhosis

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

Journal of the American Society of Nephrology : JASN Aug 6, 2025
BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal medical management and improve outcomes. We aimed to validate the Klinrisk machine learning model for prediction of CKD progression in large US commerci... read more 

STARE: Predicting Decision Making Based on Spatio-Temporal Eye Movements

arXiv Aug 6, 2025
The present work proposes a Deep Learning architecture for the prediction of various consumer choice behaviors from time series of raw gaze or eye fixations on images of the decision environment, for which currently no foundational models are avail... read more 
Neural and Evolutionary Computing

Analysis of Factors Influencing Immunological Failure in Elderly People Living with HIV Undergoing Antiretroviral Therapy: A LASSO-Logistic Regression Approach.

AIDS research and human retroviruses Aug 6, 2025
This study aimed to identify key predictors of immunological failure in elderly patients with HIV receiving antiretroviral therapy (ART) through machine learning approaches. We conducted a retrospective analysis of 490 elderly patients with HIV (incl... read more 

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

Developing personalized algorithms for sensing mental health symptoms in daily life.

Npj mental health research Aug 6, 2025
The integration of artificial intelligence (AI) and pervasive computing offers new opportunities to sense mental health symptoms and deliver just-in-time adaptive interventions via mobile devices. This pilot study tested personalized versus generaliz... 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

Public Medical Appeals and Government Online Responses: Big Data Analysis Based on Chinese Digital Governance Platforms.

Journal of medical Internet research Aug 6, 2025
BACKGROUND: In the era of internet-based governance, online public appeals-particularly those related to health care-have emerged as a crucial channel through which citizens articulate their needs and concerns. read more 
Internet Big Data Government East Asian People Humans China

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
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