Cervical erosion - analogs
| Description «Cervical erosion» | ||||||
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Начиная работу с сервисом, вы принимаете соглашение пользователя. Kiberis do not replace the doctor!
- 90% Compare Cervical cyst
- 83% Compare Cervical endometriosis
- 80% Compare Chronic cervicitis
- 67% Compare Postpartum cervical ulcer
- 53% Compare Nabotov's cervical cysts
- 53% Compare Retention cyst
- 52% Compare Uterine atresia
- 51% Compare Ureaplasmosis and mycoplasmosis
- 49% Compare P39.9 Infection specific to the perinatal period, unspecified
- 49% Compare Bacterial cervicitis
- 47% Compare Ureaplasmosis in women
- 47% Compare Lochiometer
- 43% Compare Serozometer
- 38% Compare Kuveler 's Uterus
- 37% Compare Hyperanteflexia of the uterus
- 34% Compare Cervical fibroids
- 31% Compare Mycoplasmosis in women
- 23% Compare B20-B24 Disease caused by human immunodeficiency virus [HIV]
- 23% Compare O34.3 Maternal care for cervical incompetence
- 23% Compare Human papillomavirus
- 23% Compare Interstitial uterine fibroids
- 21% Compare Interstitial fibroma of the uterus
- 20% Compare O01.9 Hydatidiform mole, unspecified
- 19% Compare Retrochorial hematoma
- 18% Compare Patau syndrome
- 18% Compare Salpingitis
- 17% Compare Adnexite
- 17% Compare The emerging myomatous node
- 15% Compare Condylomas
- 13% Compare Urogenital mycoplasmosis
- 11% Compare Bleeding from the bladder
- 10% Compare Squamous cell carcinoma of the cervix
Learn more about the selection of analogues
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- Medical online service designed to help in differential diagnostics.
- Find similar diseases for a diagnosis that causes irritation.
- If you are a professional, then the help of artificial intelligence will help in the express diagnostics.
The advantage of Kiberis is its versatility, thanks to which it is able to select analogues for anything, including for diseases and diagnoses. Artificial intelligence analyzes descriptions of diseases, clinical recommendations for their treatment, real statistics on making diagnoses and displays the most similar diseases with a degree of similarity in percent.