Intelligent Ultrasound expands ScanNav AI pilot
Intelligent Ultrasound announces that it has expanded the pilot of its ScanNav artificial intelligence (“AI”) image analysis software into its second UK hospital, at the Princess Anne Wing Ultrasound Department of the Royal United Hospitals (“RUH”), Bath.
ScanNav is the first CE marked AI system to carry out an automated, real-time “peer review” of obstetric ultrasound images as the patient is scanned.
Initially targeted at the UK pregnancy screening programme, offered to all women at approximately 20 weeks of pregnancy, ScanNav uses deep-learning to evaluate over 50 individual criteria to verify that the six views required by the NHS Fetal Anomaly Screening Programme are complete and fit for purpose.
Commenting on their interest in ScanNav, Pam Norbury, Lead Sonographer at RUH, said: “I am excited to be involved in this pilot. We expect ScanNav will boost the confidence of trainees and the newly qualified as they learn but also provide assurance to the whole team that their image quality is of the standard expected in this department. I am looking forward to increased clinical capacity without loss of vital audit data & reduced image storage on the digital archive system”.
Commenting on the evaluation, Nick Sleep, Chief Technology Officer of Intelligent Ultrasound, said: “Our aim is to develop software tools to guide and support clinicians in their use of ultrasound. The feedback from our first pilot is that ScanNav is doing this and we look forward to confirming this with Pam and her team. Their enthusiasm for the technology mirrors ours and we are delighted to be working them to bring this exciting software to market.”