Aphasia - analogs
Description «Aphasia» | ||||||||
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- 70% Compare Acoustic-mnestic aphasia
- 61% Compare Acoustic-gnostic aphasia
- 61% Compare Cortical dysarthria
- 61% Compare Dynamic aphasia
- 59% Compare Dysarthria in children
- 58% Compare Bulbar dysarthria
- 57% Compare Afferent motor aphasia
- 56% Compare Cerebellar dysarthria
- 56% Compare Efferent motor aphasia
- 55% Compare Total aphasia
- 55% Compare Semantic aphasia
- 54% Compare Pseudobulbar dysarthria
- 54% Compare Amnesic aphasia
- 51% Compare I64 Stroke, not specified as haemorrhage or infarction
- 51% Compare Extrapyramidal dysarthria
- 49% Compare I63.9 Cerebral infarction, unspecified
- 49% Compare Stroke in children
- 46% Compare Todd's Palsy
- 46% Compare Athetosis
- 43% Compare Cerebral vasculitis
- 43% Compare Locked-in syndrome
- 42% Compare Stroke
- 41% Compare Paroxysmal dysarthria
- 39% Compare Alternating syndromes
- 39% Compare Erased dysarthria
- 38% Compare Binswanger 's disease
- 38% Compare Frontal syndrome
- 37% Compare Hydrocephalus
- 37% Compare Ataxic cerebral palsy
- 37% Compare Primary progressive aphasia
- 35% Compare Sensorimotor alalia
- 35% Compare Spinal stroke
- 34% Compare Ischemic stroke
- 33% Compare F02 Dementia in other diseases classified elsewhere
- 32% Compare Cortical blindness
- 32% Compare Intracranial hypertension
- 31% Compare Level 1 ONR
- 30% Compare ONR 3 levels
- 30% Compare Hepatic encephalopathy
- 29% Compare General underdevelopment of speech (ONR)
- 29% Compare Lawrence-Moon-Bardet-Bidl syndrome
- 29% Compare Arteriovenous malformations of the brain
- 28% Compare Sensory alalia
- 28% Compare Violation of fine motor skills in children
- 27% Compare Mowgli syndrome
- 26% Compare Mild cognitive impairment
- 26% Compare Binswanger atherosclerotic encephalopathy
- 26% Compare Agrammatic dysgraphy
- 26% Compare Hemorrhagic stroke
- 25% Compare Foreign accent syndrome
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- Find similar diseases for a diagnosis that causes irritation.
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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.