Robotic autonomous complex
for ultrasonic diagnostics
for ultrasonic diagnostics

ROBOSCAN DIVIDES THE
ULTRASOUND INTO TWO STEPS
ULTRASOUND INTO TWO STEPS
ULTRASOUND
DATA ANALYSIS
FUNCTIONALITY
Ultrasound data collection
- Step by step, slice by slice in the same plane, without changing the angle of the ultrasound sensor – as in a CT or MRI coil
- According to the "anatomical region" bypass algorithm, sliding over the surface
- "Chaotic", until the entire volume (cube) of the 3D examination area is filled
Saving initial data
in DICOM
in DICOM
- The system complies with the medical standard for creating, storing, transmitting and visualizing digital documents
- DICOM is supported by major medical device and software manufacturers
Data research
- Expert data analysis
- Decision Support System
- Automated analysis process
COMPOSITION OF THE COMPLEX
Diagnostic site
- Ultrasound machine
- Collaborative robotic manipulator, which implements the screening process in automated mode according to a predetermined trajectory, depending on the study area
The doctor's workplace
- Converting received data to DICOM
- 3D modeling of the examined organ
- Physician's work interface with the display of the marked data of the ultrasound
- Accumulation, storage and analysis of examination results
ULTRASOUND
TRANSFORMATION
TRANSFORMATION
Saving resources
The possibility of ultrasound without
or with minimal involvement
of a human operator (lab technician)

Saving time
Routine work (data collection)
is formalized and standardized
Quality improvement
By automating the screening process and forming centers of excellence using telemedicine technologies, quality expertise
Remote access
Allows physicians to work with hard-to-reach regions and eliminates the need for direct contact with infected patients
Data analysis
Data accumulation, storage, and analysis
will allow: faster examinations, prediction
of diagnosis and treatment options
Creating new solutions
Forming an extensive dataset for research, new product creation, development and training of medical programs based on Machine Learning
NEWS

21 October 2022
Ultrasound robots: ready-made solutions and promising directions

21 October 2022
MedLab Accelerator DemoDay
LETTERS OF SUPPORT
Sechenov University
Letter of support for the project and confirmation of the relevance of the developed solution
Moscow Department of Health
Letter of readiness to conduct pilot testing on the basis of subordinate institutions
TEAM

Artem Badriev
CEO
Managing Partner at Rocketax Venture Studio

Nikolay Nagulin
CTO
Ph.D. Full member of the Academy
of Medical and Technical Sciences. CEO
at Spectromed LLC

Igor Shaderkin
Medical Expert
MD. PhD. Head of the Е-health Laboratory of the Institute of Digital Medicine of the Sechenov University. Expert in the field of ultrasound diagnostics

Vitaly Polyansky
Software Development Manager
Ph.D. Associate Professor, Department of Aviation Robotics Systems, MAI. Civil Robotics Design Team Leader. Head of scientific-educational center "Mechatronics, robotics and intelligent systems"

Sergey Smirnov
Chief Designer
Associate Professor. Director of the Scientific and Educational Center for Research and Innovative Developments at the Stroganov Academy.
CEO at Smirnov Design LLC
A team of developers,
engineers and industrial
designers