The Need for a Non-Invasive Technology for Endometriosis Detection and Care

Ariane Hine, Juliana Bowles, Thais Webber
Studies in health technology and informatics · 2023 · vol. 302 , pp. 103–107 · doi:10.3233/shti230073 · PMID:37203618 · W4377092077
article OA: hybrid CC0 ⤵ 2 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This paper argues for computational solutions and enhanced data sharing to develop non-invasive endometriosis detection technologies, improving patient care and reducing diagnostic delays.

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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).

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Female Female Female Female Female Female Female Female

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (11)

Cited by (2)

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europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
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License: CC0 · commercial use OK