Swiss hospital and research centre conduct clinical trial of artificial intelligence in cardiotocography interpretation

Photo by Markus Winkler

University Hospital Inselspital in Berne is recruiting patients for the clinical trial of introduction of artificial intelligence (AI) and machine learning in cardiotocography (CTG) interpretation to improve clinical use.

The Swiss Center for Electronics and Microtechnology (CSEM) is partnering with University Hospital Inselspital in this clinical trial.

The researchers plan to create a clinical decision support (CDS) system by programming a self-learning software to analyze the cardiotocography (CTG) traces in the - already existing - database from the maternity department of the Inselspital Berne. The project leaders will process and analyze all clinical outcomes of the estimated 10000-15000 eligible patient records. CSEM will design, develop, and validate several AI architectures with the intend to create the CDS system. The AI would learn to assist on this task by training machine learning (ML) algorithms. The main purpose of the AI-CDS will be to determine the best fetal extraction moment during labor, based on a self-learning approach, as a "superhuman" support tool for obstetricians in decision making during labor.

Superior prediction of fetal morbidity through the self-learning CDS system than if performed by obstetricians alone, especially in regards to specificity is primary outcome measure.

The study population that can be accepted into this study includes patients with singleton pregnancies and CTG-registrations during labour from 01.01.2006 to 31.12.2019.

This clinical trial will start in October, 2020 and completion is expected in 2021.

The address is Frauenklinik Inselspital (3010, Bern, Switzerland).

For more information and contact details see the link below.

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