[Artificial intelligence and ultrasound in fetal medicine].

Journal: Ugeskrift for laeger
PMID: 40358082

Abstract

Ultrasound is essential in fetal medicine for diagnosing and monitoring, but it requires extensive training. Artificial intelligence (AI) shows a great promise in enhancing the clinical training and practice, by improving workflow and standardising diagnostics. Despite its potential, AI's limitations and regulatory challenges must be addressed before full integration. Research should focus on implementation to achieve successful use in clinical practice. Ultimately, AI is expected to support clinicians rather than replace them, improving diagnostic accuracy and efficiency in fetal medicine.

Authors

  • Caroline Taksøe-Vester
    Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Zahra Bashir
    Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. zab@regionsjaelland.dk.
  • Emilie Pi Fogtmann Sejer
    Institut for Klinisk Medicin, Københavns Universitet.
  • Mary Le Ngo
    Institut for Klinisk Medicin, Københavns Universitet.
  • Lars Henning Pedersen
    Institut for Klinisk Medicin, Aarhus Universitet.
  • Mikkel Friis
    Department of Skills Training and Simulation, NordSim, Aalborg University Hospital, Aalborg, Denmark.
  • Olav Bjørn Petersen
    Institut for Klinisk Medicin, Københavns Universitet.
  • Aasa Feragen
    Department of Computer Science, University of Copenhagen, Denmark.
  • Mads Nielsen
    Department of Computer Science, University of Copenhagen, Copenhagen Ø DK-2100, Denmark; Biomediq A/S, Copenhagen Ø DK-2100, Denmark.
  • Anders Nymark Christensen
  • Martin G Tolsgaard
    Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, Copenhagen, Denmark. martintolsgaard@gmail.com.

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