Botkin.AI for
medical facilities
Projects that can be implemented in medical facilities
Prospective
analysis

Real-time medical decision support system (up to 7 minutes per study)
Retrospectiv
analysis

Automatic revision of the archive of medical images for additional detection of pathologies.
Second
opinion

Double reading of mammographic studies + additional control by artificial intelligence technologies
Capabilities of AI technologies
  • Increasing the efficiency of radiological equipment use
  • Routing and support of remote image analysis process via the means of artificial intelligence
  • Increase in the percentage of successfully detected cancer
  • Modernize the clinic using advanced technologies
  • Improving the quality of diagnostics and increasing the average check
  • Remote description of medical images

Analyzed modalities

CT of the chest organs:

  • malignant neoplasms
  • syndromes associated with COVID-19
  • pulmonary emphysema
  • hydrothorax
  • pneumothorax
  • cellular lung
  • calcification of the coronary arteries

Mammography

  • segmentation of pathologies in the mammary glands. Classification by ACR, BiRADS, detection of calcifications
  • recognition of lymph nodes

CT brain

  • segmentation and classification of hemorrhages
Our cases
“SCANDINAVIA” CLINIC CHAIN

Retrospectiv analysis
Feb - May 2021

Botkin.AI, together with “Scandinavia” clinic chain has conducted a retrospective reevaluation of thorax CT scans of COVID-19 patients
NIZHNY NOVGOROD

Retrospectiv analysis
2021

One of the key commercial projects in 2021 is a retrospective revision of covid CT scans
YNAO

Retrospectiv analysis
Jan - Feb 2019

Botkin.AI platform has been integrated with the central archive of medical images of the region to obtain medical CT scans of the chest organs
Sitemap
About us
Technologies
Cases
Contacts
Contacts
Phone:
E-mail:
Bol'shoy Bul'var, 42/1,
Skolkovo, Moscow, 143026


8 (495) 649-13-00
info@botkin.ai
Medical facilities
Pharma
Doctors
Patients
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Research is carried out with grant support from the Skolkovo Foundation