Using machine learning to standardise diagnostic testing pathways in suspected coronary artery disease

By Mélisande Rouger30th June 2021No Comments

By Dr. EK Oikonomou & Dr. R Khera

Coronary artery disease (CAD) affects nearly 200 million people in the world, with chest pain representing one of the major presenting symptoms [1, 2].

Mélisande Rouger

Previous PostPressure-based compression in breast tomosynthesis
Next PostThe role and added value of CT-FFR in the diagnosis of coronary artery disease

Subscribe to our newsletter and stay updated.

Subscribe now

Adalbert-Stifter-Weg 2 b
85661 Forstinning
Germany

Tel.: +49 1511 15674833

Site Notice
Privacy Policy

DI Europe is not responsible for any error or omission that might occur in the electronic display of product or company data.

Using machine learning to standardise diagnostic testing pathways in suspected coronary artery disease

Mélisande Rouger

Previous PostPressure-based compression in breast tomosynthesis

Next PostThe role and added value of CT-FFR in the diagnosis of coronary artery disease

Subscribe to our newsletter and stay updated.

Subscribe now