A deep learning approach to identify the fetal head position using transperineal ultrasound during labor

We have developed a DL-model capable of assessing fetal head position using transperineal ultrasound during the second stage of labor with an excellent overall accuracy. Future studies should validate our DL model using larger datasets and real-time patients before introducing it into routine clinical practice.

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Publication Details

Journal
European Journal of Obstetrics & Gynecology and Reproductive Biology
Published
2024-08-09
DOI
https://doi.org/10.1016/j.ejogrb.2024.08.012
Citations
12
Primary Topic
Neonatal and fetal brain pathology
Type
article
Field-Weighted Citation Impact
13.31
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article

A deep learning approach to identify the fetal head position using transperineal ultrasound during labor

Paola Pisani, Maria Giovanna Di Trani, Sergio Casciaro, Yaw Amo Wiafe et al.
12 citations
European Journal of Obstetrics & Gynecology and Reproductive Biology
Neonatal and fetal brain pathology
13.31
article

A deep learning approach to identify the fetal head position using transperineal ultrasound during labor

Paola Pisani, Maria Giovanna Di Trani, Sergio Casciaro, Yaw Amo Wiafe, Allegra Mazzeo, Marta Tondo, A. Dall’Asta, Enrico Iurlaro, W.L. Lau, Giuseppe Rizzo, S. Usman, Wassim A. Hassan, Dominic Gabriel Iliescu, Antonio Lanzone, Sasha Taylor, Ilenia Mappa, Michael Abou‐Dakn, Francesco Conversano, R. Morello, Alice Winkler, Stefania Fieni, Antonella Vimercati, Catherine Man Wai Hung, Ruben Ramirez Zegarra, Chiara Melito, Rodica Daniela Nagy, Edi Vaisbuch, Roni Levy, Angelo Sirico, Torbjørn Moe Eggebø, Gülhan SAĞIROĞLU MUSLU, Edvin Vaso, Christian Braun, Tullio Ghi, Christoph Lees
article en
12 citations

Abstract

We have developed a DL-model capable of assessing fetal head position using transperineal ultrasound during the second stage of labor with an excellent overall accuracy. Future studies should validate our DL model using larger datasets and real-time patients before introducing it into routine clinical practice.

European Journal of Obstetrics & Gynecology and Reproductive BiologyVol. 301
University of Parma (IT), Kwong Wah Hospital (CN), Kaplan Medical Center (IL), Policlinico Umberto I (IT), Agostino Gemelli University Polyclinic (IT), Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT), Kwame Nkrumah University of Science and Technology (GH), University of Medicine and Pharmacy of Craiova (RO), Azienda Universitaria Ospedaliera Consorziale - Policlinico Bari (IT), East Suffolk and North Essex NHS Foundation Trust (GB), St Olav's University Hospital (NO), Istituto di Fisiologia Clinica (IT), Luzerner Kantonsspital (CH), Colchester Hospital (GB), Queen Charlotte's and Chelsea Hospital (GB), Policlinico Tor Vergata (IT), St. Joseph-Krankenhaus (DE), Istituti di Ricovero e Cura a Carattere Scientifico (IT), National Research Council (IT), Sapienza University of Rome (IT)
Decent work and economic growth
Openalex Percentile: Top 1%
Neonatal and fetal brain pathology
13.31
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