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The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
April 15, 2024, 4:41 a.m. | M. Jaleed Khan, Ioana Duta, Beth Albert, William Cooke, Manu Vatish, Gabriel Davis Jones
cs.LG updates on arXiv.org arxiv.org
Abstract: The rapid advancement of Artificial Intelligence (AI) in healthcare presents a unique opportunity for advancements in obstetric care, particularly through the analysis of cardiotocography (CTG) for fetal monitoring. However, the effectiveness of such technologies depends upon the availability of large, high-quality datasets that are suitable for machine learning. This paper introduces the Oxford Maternity (OxMat) dataset, the world's largest curated dataset of CTGs, featuring raw time series CTG data and extensive clinical data for both …
abstract advancement ai-driven technologies analysis artificial artificial intelligence arxiv child cs.lg dataset development health healthcare however intelligence monitoring multimodal technologies through type
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