Urethral caruncle - analogs
| Description «Urethral caruncle» | ||||||
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- 70% Compare Prolapse of the urethral mucosa
- 69% Compare N37.0 Urethritis in diseases classified elsewhere
- 63% Compare Diverticulum of the urethra
- 60% Compare Paraurethral cyst
- 59% Compare Urethral polyp
- 55% Compare Ureaplasmosis in women
- 53% Compare Ureaplasmosis and mycoplasmosis
- 53% Compare Urethral stricture
- 53% Compare Ureteritis
- 50% Compare Foreign body of the urethra
- 47% Compare Fibrous endometrial polyp
- 47% Compare Sclerosis of the bladder neck
- 47% Compare Urethro-vaginal fistula
- 42% Compare Benign tumors of the nasal cavity
- 42% Compare Hypertrophy of the seminal tubercle
- 40% Compare Rupture of the uterus
- 38% Compare Gasoline pneumonia
- 37% Compare N34.3 Urethral syndrome, unspecified
- 36% Compare Salt diathesis
- 36% Compare Cooperite
- 36% Compare Benign pleural tumors
- 36% Compare Gastric leiomyoma
- 35% Compare CAKUT-синдром
- 35% Compare Injury of the ureter
- 35% Compare Gartner 's stroke cyst
- 34% Compare Metastatic brain tumors
- 34% Compare Villous tumor of the colon
- 34% Compare Locked-in syndrome
- 34% Compare Primary-multiple tumors
- 34% Compare Gonorrheal urethritis
- 33% Compare Interstitial uterine fibroma
- 33% Compare Polyps of the sigmoid colon
- 33% Compare Middle ear polyp
- 33% Compare C00-C14 Malignant neoplasms of the lip, oral cavity and pharynx
- 33% Compare Urethra valves
- 32% Compare Placenta increment
- 32% Compare Fournier 's gangrene
- 32% Compare Angiolipoma of the kidney
- 31% Compare Otohematoma
- 31% Compare Urogenital chlamydia
- 31% Compare Ewing 's sarcoma
- 31% Compare C72.1 Malignant neoplasm, cauda equina
- 31% Compare Erythroplakia of the cervix
- 31% Compare Megaureter
- 30% Compare Ovarian vein thrombosis
- 30% Compare Merkel's vulva cancer
- 30% Compare Twist the legs of the ovarian tumor
- 30% Compare Silent sinus syndrome
- 30% Compare Recurrent inguinal hernia
- 30% Compare Salivary gland cancer
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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.