Work

EP01.19: Performance of an AI software in automatic detection of fetal ultrasound planes

Year: 2024

Type: conference-abstract

Source: Ultrasound in Obstetrics and Gynecology

DOI: 10.1002/uog.28034

Authors: J. Stirnemann, V. Debavelaere, G. Corda, N. Matevski, F. Loge, C. Amabile, L. Armstrong, K. Trychon, N. Logan, D. Bello, K. Sanchez, E. Spaggiari, Y. Ville

Institutions: Hôpital Necker-Enfants Malades, Université Paris Descartes, Duke Medical Center, Brigham and Women's Hospital, Palm Beach Gardens Medical Center

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4402359034

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