Teleradiology with Botkin.AI

for Teleradiology

A new model for organizing
a teleradiology service using
artificial intelligence

Key Features:

Any medical institution can simultaneously:

  • Be a customer of image description services
  • Provide teleradiology services to other clinics

Artificial intelligence technologies are used for:

  • Increase in radiologists’ effectiveness
  • 100% quality control of diagnostic images description

Key differences between teleradiology with Botkin.AI
from existing teleradiology products and services

Existing Products for Teleradiology
Botkin.AI Teleradiology
Organizational model
A radiologists’ outsourcing model in which two parties are involved:
  1. A medical institution which needs image description services
  2. Image description service provider
Problem: teleradiology services provider must have radiologists with extensive expertise in describing studies of different types and with different pathologies. Lack of deep expertise reduces image description quality
Any medical institution connected to Botkin.AI Teleradiology can simultaneously act as:
  1. Customer for image description services (e.g. in case of a temporary shortage of radiologists)
  2. An image description services provider (e.g. in case of rare pathologies or in case of additional number of radiologists in medical institution)
Quality control
Missing or selective control
100% quality control of studies using AI technologies
Traditional imaging and image processing technologies
The use of artificial intelligence technologies in order to improve the efficiency and quality of images description 
Linear pricing model depending on the number and type of studies
Dynamic pricing model based on the best offers from medical institutions for specific types of studies and pathologies
Types of services
Description of the study by radiologist
  1. Description of the study by radiologist
  2. Analysis of the study using AI technologies
  3. Cross-sectional analysis of the study involving radiologists and AI models