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Showing 1513-1533 of 5,850 articles

Deep learning-based assessment of missense variants in the gene presented with bilateral congenital cataract.

OBJECTIVE: We compared the protein structure and pathogenicity of clinically relevant variants of th...

Jan 2025 39809522

Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity.

PURPOSE: This study evaluates the effectiveness of machine learning (ML) algorithms for improving th...

Jan 2025 39855986

Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms.

Preeclampsia (PE) is a major pregnancy-specific cardiovascular complication posing latent life-threa...

Jan 2025 39815029

Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

Assessing vines' vigour is essential for vineyard management and automatization of viticulture machi...

Jan 2025 39860800

Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactio...

Jan 2025 39830784

Artificial Intelligence-Driven Translation Tools in Intensive Care Units for Enhancing Communication and Research.

UNLABELLED: There is a need to improve communication for patients and relatives who belong to cultur...

Jan 2025 39857547

Deep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation.

OBJECTIVE: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysi...

Jan 2025 39797862

Using supervised machine learning and ICD10 to identify non-accidental trauma in pediatric trauma patients in the Maryland Health Services Cost Review Commission dataset.

BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We ...

Jan 2025 39799844

Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction.

Breast milk is essential for infant health, but the transfer of xenobiotic chemicals poses significa...

Jan 2025 39799920

Development of deep learning auto-encoder algorithms for predicting alcohol use in Korean adolescents based on cross-sectional data.

Alcohol is a highly addictive substance, presenting significant global public health concerns, parti...

Jan 2025 39892039

The influence of factors related to public health campaigns on vaccination behavior among population of Wuxi region, China.

BACKGROUND: Public health campaigns are essential for promoting vaccination behavior, but factors su...

Jan 2025 39866353

Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.

BACKGROUND: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of b...

Jan 2025 39789565

Predicting early cessation of exclusive breastfeeding using machine learning techniques.

BACKGROUND: Identification of mother-infant pairs predisposed to early cessation of exclusive breast...

Jan 2025 39787191

Effects of CO and liquid digestate concentrations on the growth performance and biomass composition of and microalgal strains.

This study evaluated the growth performance of and microalgae cultivated in diluted liquid digesta...

Jan 2025 39850510

Browse Categories

Deep learning-based assessment of missense variants in the gene presented with bilateral congenital cataract.

Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity.

Development of immune-derived molecular markers for preeclampsia based on multiple machine learning algorithms.

Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.

Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

Artificial Intelligence-Driven Translation Tools in Intensive Care Units for Enhancing Communication and Research.

Deep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation.

Using supervised machine learning and ICD10 to identify non-accidental trauma in pediatric trauma patients in the Maryland Health Services Cost Review Commission dataset.

Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction.

Development of deep learning auto-encoder algorithms for predicting alcohol use in Korean adolescents based on cross-sectional data.

The influence of factors related to public health campaigns on vaccination behavior among population of Wuxi region, China.

Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.

Predicting early cessation of exclusive breastfeeding using machine learning techniques.

Effects of CO and liquid digestate concentrations on the growth performance and biomass composition of and microalgal strains.

Utilizing natural language processing to identify pediatric patients experiencing status epilepticus.

Evaluation of Generative Artificial Intelligence Models in Predicting Pediatric Emergency Severity Index Levels.

A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning.

A bioinspired fish fin webbing for proprioceptive feedback.

Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine.

Prediction of late-onset depression in the elderly Korean population using machine learning algorithms.

Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation.

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