Automated Prognostic Assessment of Endometrial Hyperplasia for Progression Risk Evaluation Using Artificial Intelligence

Rewcastle, Emma; Gudlaugsson, Einar; Lillesand, Melinda; Skaland, Ivar; Baak, Jan P. A.; Janssen, Emiel A. M.

doi:10.1016/j.modpat.2023.100116

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Wsi As a Predictive Biomarker1

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2024

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Cited by 3 publications

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“…For example, hyperplasia with and without atypia is a challenging area of gynae pathology with poor reproducibility. Rewcastle et al 17 recently developed an AI tool (ENDOAPP) to assess features within endometrial biopsies with a diagnosis of hyperplasia that correlated with prognosis and were able to assign a low risk versus high risk of progression score with a reasonable level of performance (accuracy of 88-91%), comparable to other classification schemes of hyperplasia such as EIN and WHO 2020.…”

Section: Wsi As a Predictive Biomarkermentioning

confidence: 99%

An overview of artificial intelligence applications for next-generation gynaecological pathology

Bell¹,

Blackwood²,

Fell³

et al. 2023

Diagnostic Histopathology

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Section: Wsi As a Predictive Biomarkermentioning

confidence: 99%

An overview of artificial intelligence applications for next-generation gynaecological pathology

Bell¹,

Blackwood²,

Fell³

et al. 2023

Diagnostic Histopathology

View full text Add to dashboard Cite

Advancements and applications of AI technologies in pathology: a scoping review

Salo,

Nordlund,

Eklund

et al. 2024

Computer Methods in Biomechanics and Biomedical Engineering: Im

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Biotechnological progresses in modelling the human endometrium: the evolution of current in vitro techniques and emerging trends

Agustina-Hernández,

Francés-Herrero,

Gómez-Álvarez

et al. 2024

Front. Bioeng. Biotechnol.

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The endometrium plays a fundamental role in the reproductive system yet many etiologies of infertility-related endometrial diseases such as endometriosis, adenomyosis, Asherman’s syndrome or endometrial cancer remain unknown. There are currently no treatments that minimize the effects of this devastating disorder. Appropriate model systems that closely mimic the architecture and function of the endometrium in healthy and pathological states are needed to understand the underlying molecular pathways and develop novel or more effective treatments. This review summarizes the key milestones of in vitro culture models of the human endometrium throughout history, as well as the applications of advanced bioengineering techniques in the modelling of both healthy and pathological endometrium. Opportunities for future approaches are also discussed.

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Automated Prognostic Assessment of Endometrial Hyperplasia for Progression Risk Evaluation Using Artificial Intelligence

Cited by 3 publications

References 36 publications

An overview of artificial intelligence applications for next-generation gynaecological pathology

An overview of artificial intelligence applications for next-generation gynaecological pathology

Advancements and applications of AI technologies in pathology: a scoping review

Biotechnological progresses in modelling the human endometrium: the evolution of current in vitro techniques and emerging trends

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