Ultraschall in der Medizin - European Journal of Ultrasound, Table of Contents Ultraschall Med 2024; 45(02): 115-117DOI: 10.1055/a-2249-6915 Editorial Potential of Simulators in Ultrasound Diagnostics Article in several languages: deutsch | English Sevgi Tercanli , Luigi Raio Recommend Article Abstract Full Text References Literatur 1 Meuwly JY. Ultraschallunterricht während des Medizinstudiums: Bilanz nach Ablauf eines Studienjahres in Lausanne, Schweiz. Ultraschall in Med 2017; 38: 105-111 2 IQWiG (2008). Ultraschallscreening in der Schwangerschaft: Testgüte hinsichtlich der Entdeckungsrate fetaler Anomalien. 3 Staboulidou I, Wstemann M, Vaske B. et al. Quality assured ultrasound simulator trainingfor the detection of fetal malformations. Acta Obstet Gynecol Scand 2010; 4 Steinhard J, Dammeme DA, Laser KT. et al. Randomised controlled study on the use of systematic simulator-based training for learning the standard heart planes in fetal echocardiography. Ultrasound Obstet Gynecol 2019; 5 Steinhard J, Freundt P, Janzing P. et al. Künstliche Intelligenz und Simulation in der Pränatalmedizin – was wir von Maschinen lernen können. Gynäkologie 2022; 55: 746-758 6 Yongfeng Z, Ping Z, Wenhui Z. et al. Validity evidence for simulator-based obstetric ultrasound competency assessment tool: a multi-center study. Ultraschall in Med 2023; 7 Seitzinger M, Gnatzy F, Kern S. et al. Development, evaluation, and overview of standardized training phantoms for abdominal ultrasound-guided interventions. Ultraschall in Med 2024; 8 Waldner MJ, Strobel D. Ultrasound Diagnosis of Hepatocellular Carcinoma: Is the Future Defined by Artificial Intelligence?. Ultraschall in Med 2024; 45: 8-12 9 Merz E, Eiben B, Thode Ch. et al. The role of ultrasound in first-trimester screening after the introduction of NIPT as a service of public heatlh insurance – a consensus statement of the Fetal Medicine Foundation (FMF). Ultraschall in Med 2023; 44: 600-605