Pharmacy professor develops AI model to predict hospitalization of at-risk cardiac patients

When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Hospital Healthcare Europe

Machine learning-assisted mapping of VT ablation targets: progress and potential

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Heart computational model can help doctors operate on and treat patients with arrhythmia

Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
IEEE

Heart Disease Prediction Using Machine Learning

Abstract: In old times, we have seen that prediction of heart disease is very complicated and difficult task. At this, one man or one woman dies every minute due to hear disease. Generation of data is ...
IEEE

Heart Disease Prediction Using Random Forest in Machine Learning Using The Concepts of Data Mining

Abstract: Heart disease remains one of the leading causes of death worldwide, making early prediction essential for treatment and prevention. This study applies machine learning techniques, ...