Autoimmune oophoritis - analogs
| Description «Autoimmune oophoritis» | ||||||
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- 55% Compare Piovar
- 54% Compare Inflammation of the appendages
- 50% Compare Hydrosalpinx
- 48% Compare Ovarian vein thrombosis
- 47% Compare Adnexite
- 45% Compare Oophorite
- 44% Compare Adhesions of the fallopian tubes
- 43% Compare Ovarian cystoma
- 43% Compare Sactosalpinx
- 43% Compare Gonococcal salpingitis
- 42% Compare Endometriosis of the rectum
- 41% Compare Appendicular-genital syndrome
- 40% Compare Aplasia of the thymus
- 40% Compare N74.4 Female Chlamydial pelvic inflammatory disease (A56.1+)
- 36% Compare Zygomycosis
- 36% Compare Lung aspergilloma
- 36% Compare Serozometer
- 35% Compare Bacterial cervicitis
- 35% Compare Ureaplasmosis in women
- 35% Compare Ovarian hypoplasia
- 34% Compare Foreign body of the uterus
- 34% Compare N37.0 Urethritis in diseases classified elsewhere
- 34% Compare N83.1 Corpus luteum cyst
- 33% Compare Piosalpinx
- 33% Compare Mycoplasmosis in women
- 33% Compare Hashimoto 's encephalopathy
- 32% Compare Serous ovarian cystadenoma
- 32% Compare Krukenberg metastasis
- 32% Compare Migrating erythema
- 32% Compare Necrotizing fasciitis
- 32% Compare Ureaplasmosis and mycoplasmosis
- 32% Compare Uterine atresia
- 32% Compare Steroid myopathy
- 32% Compare Cyst of the yellow body of the ovary
- 31% Compare Fibrous endometrial polyp
- 31% Compare Invasive lung aspergillosis
- 31% Compare Desquamative inflammatory vaginitis
- 31% Compare N86 Erosion and ectropion of cervix uteri
- 31% Compare Purulent mumps
- 30% Compare Non - lactational mastitis
- 30% Compare Poikiloderma
- 29% Compare Trichomoniasis in women
- 29% Compare Interstitial uterine fibroma
- 29% Compare O62.4 Hypertonic, incoordinate, and prolonged uterine contractions
- 29% Compare Rupture of the uterus
- 29% Compare Erythroplakia of the cervix
- 29% Compare Alajil syndrome
- 28% Compare Retention cyst
- 28% Compare Ebola fever
- 28% Compare Mowgli syndrome
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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.