K05.0 Acute gingivitis - analogs
Description «K05.0 Acute gingivitis» | ||||||
|
Начиная работу с сервисом, вы принимаете соглашение пользователя. Kiberis do not replace the doctor!
- 37% Compare K12 Stomatitis and related lesions
- 25% Compare K05.3 Chronic periodontitis
- 21% Compare K05.4 Periodontosis
- 17% Compare K00.0 Anodontia
- 16% Compare M90.1 Periostitis in other infectious diseases classified elsewhere
- 14% Compare K11.2 Sialoadenitis
- 14% Compare A60.1 Herpesviral infection of perianal skin and rectum
- 13% Compare A60.0 Herpesviral infection of genitalia and urogenital tract
- 13% Compare A60 Anogenital herpesviral [herpes simplex] infection
- 13% Compare A60.9 Anogenital herpesviral infection, unspecified
- 13% Compare B00 Herpesviral [Herpes simplex] infections
- 12% Compare B20-B24 Disease caused by human immunodeficiency virus [HIV]
- 12% Compare N86 Erosion and ectropion of cervix uteri
- 12% Compare J80-J84 Other respiratory diseases affecting mainly interstitial tissue
- 11% Compare B01 Varicella [chickenpox]
- 11% Compare L50 Urticaria
- 11% Compare C49.9 Malignant neoplasm, connective and soft tissue, unspecified
- 11% Compare M00.9 Pyogenic arthritis, unspecified
- 11% Compare N10-N16 Tubulointerstitial kidney diseases
- 11% Compare O92.4 Hypogalactia
- 11% Compare A69.0 Necrotizing ulcerative stomatitis
- 10% Compare M13.9 Arthritis, unspecified
- 10% Compare N80.0 Endometriosis of uterus
- 10% Compare C37 Malignant neoplasm of thymus
- 10% Compare M86.9 Osteomyelitis, unspecified
- 10% Compare J39.0 Retropharyngeal and parapharyngeal abscess
Learn more about the selection of analogues
- Medical online service designed to help in differential diagnosis.
- 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.