Socio-demographic portrait of a patient with endometriosis using artificial intelligence (original material)

М. М. Сонова; E.A. Karapetyan

doi:10.17116/repro20253105184

Socio-demographic portrait of a patient with endometriosis using artificial intelligence (original material)

М. М. Сонова, E.A. Karapetyan

In: Russian Journal of Human Reproduction · 2025 · vol. 31(5) , pp. 84 · doi:10.17116/repro20253105184 · W4416072405

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Artificial intelligence analyzed data from 53 patients to identify that a typical endometriosis patient is a Caucasian woman with fair skin, a normosthenic body type, higher education, and dark hair and eyes.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-08 · read from full text ⓘ

Авторы изучали социально-демографические и фенотипические характеристики 53 женщин репродуктивного возраста с подтвержденным диагнозом эндометриоза, а также использовали ИИ для генерации обобщенного «портрета пациентки» по совокупности данных об образовании, профессии, расе, цвете кожи/глаз/волос, типе телосложения, весе при рождении и уровне физической активности. Наиболее часто встречались высшее образование (83%), интеллектуальный труд и европеоидная расa у всех участниц, при этом типичный профиль включал светлую кожу, нормостеническое телосложение, чаще брюнеток/шатенок и карие или зеленые глаза. Ключевым результатом стало описание усредненного портрета, который авторы считают согласующимся с литературными данными о влиянии социального статуса и активности на обращаемость за медицинской помощью и качество жизни, хотя работа ограничена отсутствием заявленных сравнительных групп и анализом описательных частот без углубленного статистического тестирования. This paper is centrally about endometriosis — it creates an AI-generated socio-demographic and phenotypic portrait of patients with endometriosis.

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Abstract

Objective. To create a socio-demographic and phenotypic portrait of women with endometriosis based on the analysis of data from 53 patients using artificial intelligence. Material and methods. The study included 53 patients with endometriosis. Socio-demographic characteristics (education, profession), phenotypic features (skin, eye, and hair color), body type, birth weight, as well as physical activity patterns were analyzed. The data processing included a model for generating a typical portrait of a patient with endometriosis based on artificial intelligence. Results. The mean birth weight was 3157 g. Most patients had higher education (83%), belonged to the Caucasian race (100%), and had fair skin (77%). The normosthenic body type predominated (74%). The most common hair colors were brunette (38%) and brown-haired (32%), while the most common eye color was brown (49%). Regular physical activity was reported by 67% of women, while 28% had no physical activity at all. Conclusion. A typical patient with endometriosis is a Caucasian woman with fair skin, normosthenic body type, most often a brunette or brown-haired woman with brown or green eyes, and having higher education. The obtained data are important for epidemiological studies and may be used for predicting the risk of endometriosis.

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Condition tags

endometriosis

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 (6)

Source provenance

openalex: last seen: 2026-06-10T17:14:06.276822+00:00

License: CC0 · commercial use OK

[1] Clinical features, socio-demographic profile and ultrasound findings in women with endometriosis symptoms via openalex

[2] Endometriosis and its global impact on a woman’s body via openalex

[3] Exploring positive and negative body image and health-related quality of life in women with endometriosis: a latent profile analysis via openalex

[4] Self-management factors associated with quality of life among women with endometriosis: a cross-sectional Australian survey via openalex

[5] The Potential of Non-Invasive Biomarkers for Early Diagnosis of Asymptomatic Patients with Endometriosis via openalex

[6] W4411350984 via openalex