Artificial Intelligence Medical Compendium

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

Showing 56,091 to 56,100 of 226,731 articles

SpaceTime-SonoNet: efficient classification of ultra-sound video sequences.

Medical & biological engineering & computing
In this paper, we extend the SonoNet architecture to capture spatio-temporal information from ultra-sound (US) sequences. More specifically, we propose 3D-SonoNet32 - which lifts 2D convolutions to 3D - and to an efficient (2+1)D variant - to keep th... read more 

Wasserstein GAN-based estimation for conditional distribution function with current status data.

Lifetime data analysis
Current status data are commonly encountered in modern medicine, econometrics and social science. Its unique characteristics pose significant challenges to the analysis of such data and the existing methods often suffer grave consequences when the un... read more 

A machine learning gap-filling approach for daily forest soil CO2 flux based on environmental factors and eddy covariance variables.

Environmental monitoring and assessment
Accurate gap-filling of daily soil CO₂ flux is essential for understanding forest carbon cycling and supporting the achievement of carbon neutrality goals. Using observations from the Ailaoshan forest site (2010-2013), we evaluated five machine-learn... read more 

Explainable machine learning model for predicting traumatic brain injury-induced coagulopathy in elderly patients: A multicenter cohort study.

Neurosurgical review
BACKGROUND: Traumatic brain injury-induced coagulopathy (TBI-IC) in the elderly is a severe complication of traumatic brain injury (TBI) that leads to unfavorable outcomes. Currently, there are no reliable machine learning (ML) models available for e... read more 

Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.

Annals of hematology
The outcomes of children with aplastic anemia receiving cyclosporine monotherapy vary significantly in terms of mortality risk; therefore, a prognostic model for predicting mortality risk was constructed to optimize risk-stratified treatment strategi... read more 

Integrative Transcriptomic and Bioinformatics Approaches Combined With Transformer Models Identify Key Gene Networks in Atherosclerosis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
This study aimed to prioritize candidate transcriptomic mediators associated with human atherosclerosis progression by integrating transformer-based deep learning with classical bioinformatics and experimental validation. Gene expression profiles fro... read more