Artificial Intelligence Medical Compendium

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

Showing 3,011 to 3,020 of 168,416 articles

Machine learning approaches for predicting the structural number of flexible pavements based on subgrade soil properties.

Scientific reports
This study presents a machine learning approach to predict the structural number of flexible pavements using subgrade soil properties and environmental conditions. Four algorithms were evaluated, including random forest, extreme gradient boosting, gr... read more 

Neural Synchrony and Consumer Behavior: Predicting Friends' Behavior in Real-World Social Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience
The endogenous aspect of social influence, reflected in the spontaneous alignment of behaviors within close social relationships, plays a crucial role in understanding human social behavior. In two studies involving 222 human subjects (Study 1:  = 17... read more 

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy
Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more 

An improved domain-adversarial network for predicting hemodialysis adequacy.

Biomedical physics & engineering express
Hemodialysis (HD) is the primary life-sustaining treatment for patients with end-stage renal disease (ESRD). However, current real-time monitoring methods during dialysis are costly, complex, and not widely adopted. Therefore, this study aims to prop... read more 

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
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 

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al... read more 

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews
Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more 

Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif... read more 

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer.

BMC gastroenterology
PURPOSE: To develop and validate a hybrid radiomics model to predict the overall survival in pancreatic cancer patients and identify risk factors that affect patient prognosis. read more 

Alzheimer's disease risk prediction using machine learning for survival analysis with a comorbidity-based approach.

Scientific reports
Alzheimer's disease (AD) presents a pressing global health challenge, demanding improved strategies for early detection and understanding its progression. In this study, we address this need by employing survival analysis techniques to predict transi... read more