Artificial intelligence to assist in the screening fetal anomaly ultrasound scan (PROMETHEUS): a randomised controlled trial

Day TG, Matthew J, Budd S, Venturini L, Wright R, Farruggia A, Jamshidi B, Syngelaki A, Ling H, Tan M, Lai J, Brown M, To M, Guy GP, Arechvo A, Casagrandi D, Akolekar R, Nanda S, Nicolaides K, Kainz B, Simpson J, Hajnal J, Razavi R (2024)

Publication Type: Conference contribution

Publication year: 2024

Book Volume: 64

Pages Range: 108-109

Conference Proceedings Title: Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15–18 September 2024, Budapest, Hungary

Event location: Budapest

DOI: 10.1002/uog.28023

Authors with CRIS profile

Bernhard Kainz Professur für Image Data Exploration and Analysis

Involved external institutions

King's College Hospital (KCH)

United Kingdom (GB) Medway Maritime Hospital

United Kingdom (GB) King’s College London

United Kingdom (GB) Chelsea and Westminster Hospital

United Kingdom (GB) University College Hospital

United Kingdom (GB) Guy's and St Thomas' (NHS Foundation Trust)

United Kingdom (GB)

How to cite

APA:

Day, T.G., Matthew, J., Budd, S., Venturini, L., Wright, R., Farruggia, A.,... Razavi, R. (2024). Artificial intelligence to assist in the screening fetal anomaly ultrasound scan (PROMETHEUS): a randomised controlled trial. In Abstracts of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, 15–18 September 2024, Budapest, Hungary (pp. 108-109). Budapest, HU.

MLA:

Day, T. G., et al. "Artificial intelligence to assist in the screening fetal anomaly ultrasound scan (PROMETHEUS): a randomised controlled trial." Proceedings of the 34th World Congress on Ultrasound in Obstetrics and Gynecology, Budapest 2024. 108-109.

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