L92.1 Necrobiosis lipoidica, not elsewhere classified - analogs
| Description «L92.1 Necrobiosis lipoidica, not elsewhere classified» | ||||||
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- 90% Compare Lipoid necrobiosis
- 60% Compare Fordyce 's angioceratoma
- 58% Compare Kirle 's disease
- 54% Compare Chancriform pyoderma
- 54% Compare Leukemides
- 51% Compare Calcification of the skin
- 51% Compare Pilomatrixoma
- 49% Compare Skin lymphocytoma
- 48% Compare Mastocytosis
- 47% Compare Linear lichen
- 47% Compare Insulin allergy
- 47% Compare Small - plaque parapsoriasis
- 46% Compare I79 Disorders of arteries, arterioles and capillaries in diseases classified elsewhere
- 45% Compare Syringoma
- 45% Compare Anethoderma
- 44% Compare Melkersson-Rosenthal syndrome
- 44% Compare Grover's disease
- 44% Compare Nocardiosis
- 43% Compare Lichenoid tuberculosis of the skin
- 43% Compare Herpetiform impetigo
- 42% Compare Recklinghausen 's neurofibromatosis
- 42% Compare Migrating erythema
- 42% Compare True eczema
- 42% Compare Bacillary angiomatosis
- 41% Compare Polymorphic dermal angiitis
- 41% Compare Paraneoplastic dermatoses
- 41% Compare Chronic ulcerative-vegetative pyoderma
- 40% Compare Amyloidosis of the skin
- 40% Compare Tuberculous lupus
- 39% Compare Allergodermatoses
- 39% Compare Papulonecrotic tuberculosis of the skin
- 39% Compare Vulvar cancer
- 38% Compare Senile purple
- 38% Compare Paget's Vulva disease
- 38% Compare Pint
- 37% Compare Kaposi 's pseudosarcoma
- 36% Compare Elastic pseudoxanthoma
- 36% Compare Actinomycosis of the salivary glands
- 36% Compare Peliosis of the liver
- 36% Compare Subcorneal pustular dermatitis
- 36% Compare Shiny lichen
- 36% Compare Follicular dyskeratosis
- 36% Compare Mycoses of the nose and paranasal sinuses
- 35% Compare Granulomatous periodontitis
- 35% Compare Melanoma
- 35% Compare Verruciform epidermodysplasia
- 35% Compare Subarticular melanoma
- 35% Compare Merkel's vulva cancer
- 35% Compare Nodular melanoma
- 35% Compare Vulvar melanoma
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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.