Thomas van den Heuvel defended his thesis on Automated low-cost ultrasound: improving antenatal care in resource-limited settings.
He showed that a deep learning system can perform real-time detection of risk factors for pregnant women using the input from a low-cost ultrasound device. His work was covered by NOS op 3, national radio, Algemeen Dagblad, Medisch Contact, and RTL Z. Next month, Thomas will return to Ethiopia for further testing of his device.