Pediatric research
Machine learning-based tool to assess risk of hemodynamically significant PDA in extremely premature infants.
Erik Küng, Katharina Göral, Lukas Unterasinger, Christine Schilhart-Wallisch, Angelika Berger, Lukas Wisgrill, Georg Dorffner
Published: 202510.1038/s41390-025-04489-w
Abstract
BACKGROUND: A patent ductus arteriosus (PDA) is associated with complications in extremely preterm infants and its assessment requires trained personnel and equipment not always available. A prediction tool might guide the urgency and clinical decisi…
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