Novel artificial intelligence approach for automatic differentiation of fetal occiput anterior and non‐occiput anterior positions during labor
Year: 2021
Type: article
Study design: Observational Study
DOI: 10.1002/uog.23739
Authors: T. Ghi, F. Conversano, R. Ramirez Zegarra, P. Pisani, A. Dall'Asta, A. Lanzone, W. Lau, A. Vimercati, D. G. Iliescu, I. Mappa, G. Rizzo, S. Casciaro, the International Study group on Labor ANd Delivery Sonography (ISLANDS)
Institutions: University of Parma, National Research Council, St. Joseph-Krankenhaus, Università Cattolica del Sacro Cuore, Agostino Gemelli University Polyclinic, Istituti di Ricovero e Cura a Carattere Scientifico, Kwong Wah Hospital, Azienda Universitaria Ospedaliera Consorziale - Policlinico Bari, University of Medicine and Pharmacy of Craiova, Spitalul Clinic Judetean de Urgentã Craiova, University of Rome Tor Vergata, Ospedale Cristo Re, Sechenov University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W3183526564