2,281 posters, 63 videos, 56 audios, 43 topics, 18 sessions, 6,174 authors, 2,323 institutions
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RCOG World Congress 2025
June 23 - 25, 2025 | ExCeL London, UK
PP.0003
Evaluating the impact of measurement calipers on deep learning-based ovarian cancer diagnosis
Axel Geysels, Giulia Garofalo, Stefan Timmerman, Francesca Buonomo, Daniela Fischerová, Antonia Carla Testa, Francesca Moro, Lil Valentin, Povilas Sladkevicius, Ligita Jokubkiene, Marek Kudl...
Karolinska Institutet, KU Leuven, IRCCS Maternal and Infant Burlo Garofolo, Charles University and General University Hospital, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Skåne University Hosp...
Poster Presenter: Axel Geysels
PP.0004
The Digital Transformation in Obstetrics and Gynaecology: A Call for Specialist Involvement
Inibiokun Orangun, Brooke Vandermolen
East and North Hertfordshire, NHS Trust, Lister Hospital, Barts Health NHS Trust, Whipps Cross Hospital
Poster Presenter: Inibiokun Orangun
PP.0005
Vaping significantly alters hormonal profiles: data from 39,110 women
Esther Wainwirght, Zoya Ali, Natalie Getreu, Helen O'Neill
Hertility Health Ltd.
Poster Presenter: Helen O'Neill
PP.0006
Social Media Impact on Academic Performance and Interpersonal Relations among Medical Students
Rubab Khalid, Saba Ansari, mariam iqbal, Rubina Sohail, Asifa Noreen
Services Hospital, IMC Hospital, Horizon Hospital, Hameed Latif Hospital
Poster Presenter: Rubab Khalid
PP.0007
Systematic Review: Effectiveness of Artificial Intelligence in Fetal Neurosonography
Nilofer Momin, Gomathy Gopal, Simon Cunningham, Miriam Illa
University Hospitals of North Midlands NHS Trust, Royal Stoke University Hospital, BCNatal Fetal Medicine Research Center
Poster Presenter: Nilofer Momin
PP.0008
Can Machine Learning Models Outperform the Hadlock Formula in Predicting Fetal Weight?
Emily Peacock, Katherine Robertson, Lawrence Impey, Alison Noble
Fetal Medicine Unit, Women’s Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Institute of Biomedical Engineering, University of Oxford
Poster Presenter: Emily Peacock
PP.0009
Is interpretable machine learning for preeclampsia prediction better than the standard approach?
Tomas Bosschieter, Harsha Nori, Ian Painter, Rich Caruana, Vivienne Souter
Foundation for Health Care Quality, Stanford University, Microsoft Research
Poster Presenter: Vivienne Souter
PP.0010
Automated assessment of fetal head station from transperineal ultrasound volumes in labor.
Bram Packet, Kobe Haenen, Florian Ramakers, Jute Richter, Jan Deprest, Helena Williams
Department of Development and Regeneration, Catholic University of Leuven (KU Leuven)
Poster Presenter: Bram Packet
PP.0011
A multi-centre qualitative study on the use of machine learning within obstetrics
Elizabeth Bradburn, Akinmade Adepoju, Cailyn Strachn, Barbra Mutamba, Rachel Craik, Ashley Younger, Jane Hirst, Marianne Vidler, Aris Papageorghiou
University of British Columbia, University of Oxford, Babcock University, Eagle Research Centre, Kigali, Rwanda
Poster Presenter: Elizabeth Bradburn