Sigmatism - analogs
Description «Sigmatism» | ||||||
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Начиная работу с сервисом, вы принимаете соглашение пользователя. Kiberis do not replace the doctor!
- 55% Compare Open bite
- 49% Compare Mechanical dyslalia
- 45% Compare Dyslalia
- 44% Compare Infantile swallowing
- 43% Compare Functional dyslalia
- 38% Compare Bilingualism in children
- 36% Compare ONR 4 levels
- 34% Compare Distal bite
- 27% Compare Micrognathia
- 26% Compare Macroglossia
- 19% Compare Open Rhinolalia
- 19% Compare Bulbar dysarthria
- 17% Compare Pseudobulbar dysarthria
- 16% Compare Dystopian tooth
- 15% Compare Stigmas of dysembriogenesis
- 15% Compare Serous periodontitis
- 14% Compare Dysarthria in children
- 14% Compare Transient tachypnea of newborns
- 13% Compare Erased dysarthria
- 13% Compare Marginal periodontitis
- 12% Compare Subperiosteal orbital abscess
- 12% Compare Closed rhinolalia
- 12% Compare Wiedemann-Beckwith syndrome
- 12% Compare Melkersson-Rosenthal syndrome
- 11% Compare Silent sinus syndrome
- 11% Compare Gingival smile
- 11% Compare Gothic sky
- 11% Compare Microglossia
- 11% Compare Aspirin bronchial asthma
- 11% Compare Benign tumors of the nasal cavity
- 10% Compare Pulmonary artery aneurysm
- 10% Compare Cancer of the tongue
- 10% Compare R48 Dyslexia and other symbolic dysfunctions, not elsewhere classified
- 10% Compare Neuralgia of the submandibular and sublingual nodes
- 10% Compare Purulent periodontitis
- 10% Compare Progressive bulbar paralysis
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.