Post by DIREC - Digital Research Centre Denmark

Researchers have developed an AI to enhance the quality of ultrasound scans for pregnant women, drawing insights from experienced doctors. 🔍 The Challenge: Ultrasound scanning requires specialized skills, and variations in quality can impact the detection of fetal anomalies. 🥼 The Solution: In the EXPLAIN-ME project AI guides healthcare professionals to achieve high-quality scans, acting as a "lane-assist" for sonographers. 🌍 Global Impact: With trials in Tanzania and Sierra Leone, this AI could revolutionize prenatal care worldwide. Aasa Feragen | Jakob Ambsdorf | Anders Nymark Christensen | Mads Nielsen | Mikael B. Skov | Niels van Berkel | Henning Christiansen | Jesper Simonsen | Henrik Bulskov | Martin G Tolsgaard | Morten Bo Søndergaard Svendsen | Sten Rasmussen | Mikkel Lønborg Friis | Nessn Azawi | Manxi Lin | Naja Kathrine Kollerup Als | Daniel van Dijk Jacobsen | Datalogisk Institut, Københavns Universitet - DIKU | Roskilde University | DTU Compute | Department of Computer Science, Aalborg University | CAMES #DIRECimpact #computerscience #digidk