This article discusses a study that aimed to investigate the relationship between obstructive sleep apnea (OSA) and temporomandibular disorder (TMD) in patients. The study…
Browsing: Clinical Data
This article discusses the use of Machine Learning in healthcare systems to improve the accuracy of medical diagnosis and prediction. With the help of…
This article discusses the development of a predictive model for predicting spinal cord injury (SCI) in patients with spinal tuberculosis (STB) using machine learning…
This article discusses the use of machine learning techniques to predict non-alcoholic steatohepatitis (NASH) based on clinical and blood data. The study found that…
This article explores a novel approach that combines traditional statistical analysis with cutting-edge AI and ML techniques to identify critical biomarkers for predictive engines…
This study introduces COVID-Net Biochem, a versatile and explainable framework for constructing machine learning models to predict COVID-19 patient survival and the likelihood of…
This study investigates the effects of including patients’ clinical information on the performance of deep learning (DL) classifiers for disease location in chest X-ray…
This article discusses the use of graph learning algorithms in the medical field. It explains how graph databases can be used to store and…
In this work, we developed and evaluated the medical transformer architecture MeTra to integrate imaging and non-imaging data for survival predictions in patients in…
In a new study, a machine learning model that incorporates information from a single troponin test as well as other clinical data was found…