The need for a non-invasive technology for endometriosis detection and care
Abstract
Endometriosis is a complex, poorly understood, female health condition that can markedly reduce a woman’s quality of life. The gold-standard diagnostic method for endometriosis is invasive laparoscopic surgery, which is costly, not timely, and comes with risks to the patient. We argue that the need for a non-invasive diagnosis procedure, higher quality of patient care and reduced diagnosis delay, can be fulfilled by advances and research to devise innovative computational solutions. To leverage computational and algorithmic techniques, enhanced data recording and sharing are vital. We discuss the potential benefits of using personalised computational healthcare on both the clinician and patient side, reducing the lengthy average diagnosis time (currently around 8 years).
Citation
Hine , A A , Kuster Filipe Bowles , J & Webber , T 2023 , The need for a non-invasive technology for endometriosis detection and care . in M Hägglund , M Blusi , S Bonacina , L Nilsson , I Cort Madsen , S Pelayo , A Moen , A Benis , L Lindsköld & P Gallos (eds) , Caring is sharing - exploting the value in data for health and innovation : proceedings of MIE 2023 . Studies in health technology and informatics , vol. 302 , IOS Press , Amsterdam , pp. 103 - 107 , Medical Informatics Europe 2023 (MIE 2023) , Göteborg , Sweden , 22/05/23 . https://doi.org/10.3233/shti230073 conference
Publication
Caring is sharing - exploting the value in data for health and innovation
ISSN
0926-9630Type
Conference item
Rights
Copyright © 2023 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Description
Funding: Partially supported by Austrian FWF Fellowship M 3338-N (AH).Collections
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