The Need for a Non-Invasive Technology for Endometriosis Detection and Care
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OA: hybrid
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⤵ 2 in-corpus citations
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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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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. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]
References (11)
- Classification of endometriosis via openalex
- Clinical diagnosis of endometriosis: a call to action via openalex
- Clinical use of artificial intelligence in endometriosis: a scoping review via openalex
- Endometriosis: current challenges in modeling a multifactorial disease of unknown etiology via openalex
- Endometriosis: diagnosis and management via openalex
- Focus group study of endometriosis: struggle, loss and the medical merry-go-round via openalex
- Laparoscopic diagnosis of endometriosis via openalex
- W2166050085 via openalex
- W4237883008 via openalex
- W4255441088 via openalex
- W6757289468 via openalex
Cited by (2)
Source provenance
- europepmc
- last seen: 2026-10-13T06:10:10.580696+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-10-13T06:09:31.826999+00:00
License: CC0
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