The need for a non-invasive technology for endometriosis detection and care

Ariane Alice Hine; Juliana Kuster Filipe Bowles; Thais Webber

doi:10.3233/shti230073

The need for a non-invasive technology for endometriosis detection and care

Ariane Alice Hine^*, Juliana Kuster Filipe Bowles, Thais Webber

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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).

Original language	English
Title of host publication	Caring is sharing - exploting the value in data for health and innovation
Subtitle of host publication	proceedings of MIE 2023
Editors	Maria Hägglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindsköld, Parisis Gallos
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	103 - 107
Number of pages	5
ISBN (Electronic)	9781643683898
ISBN (Print)	9781643683881
DOIs	https://doi.org/10.3233/shti230073
Publication status	Published - 18 May 2023
Event	Medical Informatics Europe 2023 (MIE 2023) - Göteborg, Sweden Duration: 22 May 2023 → 25 May 2023 https://www.mie2023.org/home-page

Publication series

Name	Studies in health technology and informatics
Volume	302
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	Medical Informatics Europe 2023 (MIE 2023)
Abbreviated title	MIE 2023
Country/Territory	Sweden
City	Göteborg
Period	22/05/23 → 25/05/23
Internet address	https://www.mie2023.org/home-page

Keywords

Female reproductive health
Endometriosis
Artifical intelligence
Prediction models
Diagnosis time
Menstrual health

Access to Document

10.3233/shti230073Licence: CC BY-NC

Hine_2023_Need-non-invasive_CC
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).
Final published version, 280 KBLicence: CC BY-NC

Cite this

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 (pp. 103 - 107). (Studies in health technology and informatics; Vol. 302). IOS Press. https://doi.org/10.3233/shti230073

Hine, Ariane Alice ; Kuster Filipe Bowles, Juliana ; Webber, Thais. / The need for a non-invasive technology for endometriosis detection and care. Caring is sharing - exploting the value in data for health and innovation: proceedings of MIE 2023. editor / Maria Hägglund ; Madeleine Blusi ; Stefano Bonacina ; Lina Nilsson ; Inge Cort Madsen ; Sylvia Pelayo ; Anne Moen ; Arriel Benis ; Lars Lindsköld ; Parisis Gallos. Amsterdam : IOS Press, 2023. pp. 103 - 107 (Studies in health technology and informatics).

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title = "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{\textquoteright}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).",

keywords = "Female reproductive health, Endometriosis, Artifical intelligence, Prediction models, Diagnosis time, Menstrual health",

author = "Hine, {Ariane Alice} and {Kuster Filipe Bowles}, Juliana and Thais Webber",

note = "Funding: Partially supported by Austrian FWF Fellowship M 3338-N (AH). ; Medical Informatics Europe 2023 (MIE 2023), MIE 2023 ; Conference date: 22-05-2023 Through 25-05-2023",

year = "2023",

month = may,

day = "18",

doi = "10.3233/shti230073",

language = "English",

isbn = "9781643683881",

series = "Studies in health technology and informatics",

publisher = "IOS Press",

pages = "103 -- 107",

editor = "Maria H{\"a}gglund and Madeleine Blusi and Stefano Bonacina and Lina Nilsson and {Cort Madsen}, Inge and Sylvia Pelayo and Anne Moen and Arriel Benis and Lars Lindsk{\"o}ld and Parisis Gallos",

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Hine, AA, 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

The need for a non-invasive technology for endometriosis detection and care. / Hine, Ariane Alice; Kuster Filipe Bowles, Juliana; Webber, Thais.
Caring is sharing - exploting the value in data for health and innovation: proceedings of MIE 2023. ed. / Maria Hägglund; Madeleine Blusi; Stefano Bonacina; Lina Nilsson; Inge Cort Madsen; Sylvia Pelayo; Anne Moen; Arriel Benis; Lars Lindsköld; Parisis Gallos. Amsterdam: IOS Press, 2023. p. 103 - 107 (Studies in health technology and informatics; Vol. 302).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - The need for a non-invasive technology for endometriosis detection and care

AU - Hine, Ariane Alice

AU - Kuster Filipe Bowles, Juliana

AU - Webber, Thais

N1 - Funding: Partially supported by Austrian FWF Fellowship M 3338-N (AH).

PY - 2023/5/18

Y1 - 2023/5/18

N2 - 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).

AB - 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).

KW - Female reproductive health

KW - Endometriosis

KW - Artifical intelligence

KW - Prediction models

KW - Diagnosis time

KW - Menstrual health

UR - https://ebooks.iospress.nl/volume/caring-is-sharing-exploiting-the-value-in-data-for-health-and-innovation-proceedings-of-mie-2023

U2 - 10.3233/shti230073

DO - 10.3233/shti230073

M3 - Conference contribution

SN - 9781643683881

T3 - Studies in health technology and informatics

SP - 103

EP - 107

BT - Caring is sharing - exploting the value in data for health and innovation

A2 - Hägglund, Maria

A2 - Blusi, Madeleine

A2 - Bonacina, Stefano

A2 - Nilsson, Lina

A2 - Cort Madsen, Inge

A2 - Pelayo, Sylvia

A2 - Moen, Anne

A2 - Benis, Arriel

A2 - Lindsköld, Lars

A2 - Gallos, Parisis

PB - IOS Press

CY - Amsterdam

T2 - Medical Informatics Europe 2023 (MIE 2023)

Y2 - 22 May 2023 through 25 May 2023

ER -

Hine AA, Kuster Filipe Bowles J, Webber T. The need for a non-invasive technology for endometriosis detection and care. In Hägglund M, Blusi M, Bonacina S, Nilsson L, Cort Madsen I, Pelayo S, Moen A, Benis A, Lindsköld L, Gallos P, editors, Caring is sharing - exploting the value in data for health and innovation: proceedings of MIE 2023. Amsterdam: IOS Press. 2023. p. 103 - 107. (Studies in health technology and informatics). doi: 10.3233/shti230073

The need for a non-invasive technology for endometriosis detection and care

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