- Simulation Products
- BodyWorks Eve
- ORSIM Bronchoscopy Simulator
- AI Software
The ScanNav AutoCapture software automatically captures and analyses all the ultrasound image planes in real-time, as the sonographer moves the ultrasound probe over the patient’s abodomen during the 20 week fetal anomaly scan. The current version of the software then automatically selects and saves the key images required to meet the FASP protocol in the UK.
As the software automatically captures the correct images, the operators do not need to manually freeze and save each image required by the protocol, thereby allowing them to focus on their dynamic assessment of the fetus.
The use of AI software should reduce the operator variability from the procedure, which is expected to result in more accurate and consistent image capture.
Intelligent Ultrasound Group is in discussions with a number of OEMs to bring ScanNav Audit and AutoCapture to market and the Group expect to develop further obstetrics and gynaecology variants of ScanNav AutoCapture to complement the 20-week protocol software described above.
Intelligent Ultrasound announces it is working with the Household Air Pollution Intervention Network (HAPIN) trial to provide quality control of fetal ultrasound images. The work is led by principal investigators at Johns Hopkins, Emory and Colorado State Universities and is funded by The Bill & Melinda Gates Foundation and the National Institutes for Health (NIH).
The HAPIN study, currently taking place in Guatemala, India, Peru and Rwanda, is a randomised controlled trial to assess the effect of using of liquefied petroleum gas (LPG) stoves instead of customary cooking practices on air pollution, child health and adult chronic disease. The data is urgently needed to inform policies on the health gains that can be obtained by scaling up LPG stoves or other interventions to reduce household air pollution among vulnerable populations around the world.
Intelligent Ultrasound has provided valuable assistance to The International Fetal and Newborn Growth (INTERGROWTH-21st) Consortium led by the University of Oxford. The Consortium has developed new international standards describing optimal fetal and newborn growth, which are being incorporated into clinical care around the world to improve health outcomes.
The INTERGROWTH-21st Project involved collecting data throughout pregnancy, including over 500,000 fetal ultrasound images, from healthy women in eight geographically diverse regions of the world.
To classify the anatomical structures in those images automatically, the Consortium applied MedaPhor’s ScanNav® intelligent ultrasound technology, which uses AI algorithms and deep learning techniques to achieve over 99% accuracy.