Digitalisation of endometriosis diagnostics: Current state and prospects of development. Literature review
This review evaluates digital technologies for monitoring endometriosis symptoms, finding that while current solutions facilitate longitudinal patient profiling, they rely heavily on self-reported data and lack integration with clinical systems.
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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. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.
References (28)
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- Learning endometriosis phenotypes from patient-generated data via openalex
- Mobile applications for endometriosis management functionalities: Analysis and potential via openalex
- Symptom tracking in endometriosis using digital technologies: Knowns, unknowns, and future prospects via openalex
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