Medaphor’s AI obstetric image database exceeds 1 million images

MedaPhor (AIM:MED), the intelligent ultrasound software and simulation company, is pleased to announce that its database used for training its artificial intelligence (AI) products now exceeds 1 million obstetric ultrasound images.

Large image libraries are a prerequisite to creating AI solutions. These images have helped MedaPhor to develop its ScanNav® AI-based clinical software for ultrasound professionals. The one million mark is a significant milestone for the Company, as it will enable it to build on its ScanNav software for the global obstetric ultrasound market.

MedaPhor’s ScanNav intelligent ultrasound technology, which uses AI algorithms and deep learning techniques to automatically assess ultrasound images, is currently being piloted in UK hospitals to support sonographers carrying out the 20 week anatomy scan. ScanNav assists sonographers to ensure that the images they are taking conform to the UK Fetal Anomaly Screening Programme (FASP) protocol. In future, the software will also be capable of automatically recording required images during the ultrasound scan.

To develop ScanNav, MedaPhor has been working with anonymised ultrasound scans taken throughout pregnancy in eight countries. The latest addition to the ScanNav image library comes from a collaboration with University College London Hospitals NHS Foundation Trust (UCLH) in the UK, which is using the ScanNav software to audit its routine obstetric ultrasound practice.

By continuing to increase the image library, MedaPhor is able both to improve the discrimination of existing software; develop ScanNav to a range of other global obstetric protocols at different stages of fetal development; and push forward automatic recognition and recording of images during routine scans.

Commenting, Nicholas Sleep, CTO at MedaPhor said: “Our ScanNav artificial intelligence software is the first AI based software that can assess in real-time the quality of scans taken during a 20-week pregnancy scan. Importantly, these automated results are as good as an experienced human sonographer. This significant increase in our image library will allow us to train ScanNav to meet all the 20-week global scanning protocols, as well as expanding the range of obstetric applications for ScanNav.”