En Ru

Intelligent medical diagnostics

About the project

RoboDoc is an intelligent medical assistant that erases the boundaries of access to quality and timely care. The AI-based assistant has access to a global medical knowledge base, radically increasing the accuracy of diagnostics, the quality of treatment and minimizing medical errors.

Our goal: to eliminate inequality in healthcare by 2032. No patient should die because they were born in the wrong place, and the local paramedic turned out to be incompetent.

Our mission is to make robot doctors partners of living doctors, not their replacement. We believe that technology should work for the benefit of society: save lives, improve safety, conserve resources and give people a chance to live much longer and better.

World expertise and the best domestic developments should be available in every office, operating room and not depend on the location, level of education of a particular specialist and his salary. For this, we are developing our robot based on artificial intelligence.
Technical solution
Speech-to-Text
The patient describes the symptoms by voice → RoboDoc converts speech into text in real time, highlighting key words (pain, temperature, localization) → AI analyzes the medical history, compares it with millions of anonymized cases → offers the doctor:
  • possible diagnoses (ranked by probability)
  • recommendations for additional tests
  • links to clinical protocols and articles
By the end of the appointment, the doctor will have an extended assessment of the patient: he will be able to prescribe treatment both based on his experience and on the recommendations of his assistant

Implementation forms:
  • Application for the doctor's smartphone/tablet
  • A "smart speaker" for appointments in rural clinics, synchronized with an electronic medical record
Robot Doctor
  • In real time, the robot assistant analyzes the patient's parameters (pulse, pressure, oxygen level) → warns of risks (for example: "Decreased saturation! Check drainage")
  • Projects a 3D model of the organ onto the screen, marking areas for intervention (for example, a tumor on an MRI image)

A trained robot doctor will be able to independently:
  • conduct automated surgical operations and subsequent patient rounds
  • conduct dental operations, check vision, study images
  • receive patients even where a human doctor is absent
Global Medicine
Knowledge base:
  • Each case (with the patient's consent) is anonymously sent to the cloud → AI learns from current data
  • Doctors from different cities and countries supplement the algorithms
  • Works even at low internet speeds
  • Compatibility with inexpensive medical gadgets is supported
  • Weekly algorithm updates
  • The algorithm takes into account dialects and simplified vocabulary (important for elderly patients)
Example
A paramedic in a village in Altai receives a patient with chest pain → RoboDoc records complaints, analyzes ECG → AI detects signs of a heart attack → the system urgently connects with a cardiac surgeon from Novosibirsk → the operation is performed using a robotic manipulator at a local hospital
Patient reception, symptom analysis
Knowledge Base: AI Analytics
Diagnosis proposal
Help from a robot doctor
How does this work?

Stage 1: Development of an application with AI for medical consultations.

The program analyzes symptoms, medical history, checks against an extensive medical database and offers the doctor a probable diagnosis. This will enhance the work of medical specialists of any level, ensure the safety of medical records and open the way to the development of personalized medicine.


Key features:

  • AI does not replace the doctor, but enhances him, as an assistant with access to all the medical knowledge of mankind
  • The more doctors use the platform, the more accurate his diagnoses become
  • RoboDoc will not lose a medical record with a medical history, it is an ideal tool for timely prevention

Key systems: AI assistant, medical knowledge base

  • DxGPT.app by Microsoft is an international neural network service for diagnosing diseases
  • MosMedII.rf is a diagnostic and telemedicine center in Moscow. Tools that take into account the best practices of the capital and local characteristics of our country

Stage 2: Development of a medical robot assistant

  1. Integration of a robot doctor and a robotic surgery module
  2. Conducting an appendectomy, when a surgeon from Moscow remotely controls the robot
  3. Pre-training of the robot, through repetition and improvement of the actions of a human doctor during operations
  4. Independent operation by the robot

Key stages of development:

  1. Creation of a medical robot, in collaboration with Robee Robotics
  2. Adaptation and training of the robot
  3. Adaptation of medical personnel
Automated diagnostics in minutes
A farmer in a remote village describes symptoms (fever, rash) with his voice → RoboDoc translates speech into text, analyzes 1000+ similar cases → suggests a diagnosis of leptospirosis and a treatment plan.

  • Result: the disease is detected at an early stage, the patient is saved without a trip to the city
Precision in the operating room 24/7
A surgeon at a district hospital performs an appendectomy → RoboDoc monitors blood pressure and saturation readings in real time → warns of incipient sepsis → recommends an antibiotic.

  • Result: postoperative complications prevented, recovery time reduced by 30%
Medicine without infrastructure
RoboDoc installed in mountain village without hospital → local paramedic does ECG, AI detects arrhythmia → system connects with cardiologist from capital.

  • Result: patient received treatment in 2 hours instead of 2 days waiting for ambulance
Key Benefits
  • Improving the quality of patient care
    With accurate diagnoses and streamlined workflows, doctors can offer more effective treatments
  • Improving diagnostic accuracy
    AI analyzes millions of cases and offers the doctor a probable diagnosis. As the number of doctors on the platform increases, the accuracy of diagnoses increases thanks to the accumulated data
  • Saving time
    The platform helps to analyze data faster and make informed decisions
  • Technological
    Minimum manual labor, maximum benefit
  • Access to the world's medical database
    The platform uses millions of cases to analyze and compare symptoms, providing a high level of diagnostics
  • Humanity
    Helping people always and everywhere: regardless of their place of residence
  • Reducing errors
    Using AI reduces the likelihood of errors in diagnosis and treatment
  • Savings on medicines
    Accurate diagnoses = accurate prescriptions and correct treatment. No more buying up half the pharmacy for something to help
  • Personalized medicine
    The robot will never forget the patient’s past problems and will help create an individual treatment plan, adjusting it on the fly, for example, using data from wearable sensors
  • Safe storage of medical data
    The platform ensures the safety and availability of medical records, preventing the loss of important information
Road map
Prove effectiveness

Objective: development and testing


  1. Develop an application for a doctor on a smartphone/tablet/PC
  2. Integrate the functionality of converting voice into text with the recommendation of an AI assistant
  3. Release of a minimum version of the product with basic functionality
  4. Pilot in 3 clinics
  5. Collecting and recording feedback
  6. Expanding functionality:

— image recognition

— ​​recognition of rare diseases

From villages to cities

Goal: to become a valuable tool for doctors


  1. Integration with medical devices (ECG, ultrasound, etc.)
  2. Connection and testing on data from 100+ clinics
  3. Launch of a self-learning medical network, when AI can predict epidemics and helps optimize drug logistics
  4. Reduction in mortality from preventable causes by 25%
Global Ecosystem

Objective: adaptation of the robot assistant


  1. Integration of the robot doctor and the robotic surgery module
  2. Conducting an appendectomy, when a surgeon from Moscow remotely controls the robot
  3. Pre-training of the robot, through repetition and improvement of the actions of a human doctor during operations
  4. Independent operation by the robot
  5. Scaling: expanding coverage to 1 million doctors and patients
Team and competencies
The core of our team is made up of engineers and analysts from the country's leading universities and technology corporations:
National Research Nuclear University «MEPhI»
Moscow Institute of Physics and Technology
Lomonosov Moscow State University
Higher School of Economics
Hewlett-Packard
IBS Platformix
Rostelecom Information Technologies
Finalist of the scientific and technical projects competition: Innovative Radio Electronics
Our partners

We believe that a revolution in healthcare is possible only through collaboration.

Our partners are technology innovators and experts who share our mission: to make high-quality medicine accessible to everyone, even in the most remote corners of the planet.

industrial and anthropomorphic robots
Innovative exoskeletons and human enhancement devices
robot chef development team
dLenses.com developer of AR lenses and digital vision systems
Reimagining the Sky:
Cargo and Transport Airships
farm automation team
Why are they with us?
«No patient should suffer because of their place of residence, financial means or lack of experts. Together with our partners, we prove that this is possible» — RoboDoc.io team
  • Common values:
    All partners share our goal of eliminating inequalities in health care
  • Innovation for life
    We transform the «impossible» into working solutions
  • Transparency
    All research is conducted as openly as possible
Join the medicine of the future!
Our team is open to new ideas and ready to cooperate with investors and partners, making the world easier and more convenient
robee.info@gmail.com