#we make future
We create intelligent robotic ecosystem for neurosurgery. We make devices, applications, and server solutions for medicine and beyond. The flagship project of our team is the LevshAI Ecosystem.
The idea came at the endovascular neurosurgeons’ request. Endovascular neurosurgeons face challenges that harm surgeons and patients. They asked us to solve these problems. And we realised we could.
EcoSystem
Our ecosystem is a constructor — a set of intelligent blocks from which we build solutions for Ai-assisted robotic personalised surgery.
The input device is equipped with instruments familiar to experienced endovascular surgeons. It has haptic feedback that provides the tactile sensation of contact with simulated patients’ vessels.
The 3D models database is a database of simulations of healthy brain vessels and a set of pathologies: stroke, stenosis, aneurysms, and malformations. These models are downloaded into the 3D simulator and ready to use.
The Operating device is an executive device, controlling by the surgeon from outside of the operating room.
Solutions
Our products are built using the EcoSystem intelligent blocks. The system consists of three independent solutions assembled from the LevshAI Ecosystem’s functional units.
Training Simulator = 3D simulator + 3D Models + Input Devices
Isomorphic Training LevshAI allows surgeons to train in simulation without risk to patients.
Operating Surgery = 3D Simulator + AI Server + Input Devices + Robotic Peripherals
Operating LevshAI allows operating remotely in another room, city, or country — telesurgery. It consists of four functional units.
Training Solution
Training Solution is an interactive and reliable 3D simulation with a bunch of 3D simulations of vessels’ normal and pathological anatomy. The Training solution can may be accompanied by input devices.
Training Simulator = 3D simulator + 3D Models + Input Device
The 3D simulations of healthy brain vessels and a set of classic and unique pathologies: including stroke, stenosis, aneurysms, and malformations are loaded into the Training simulator and are ready for training.
Training simulator uses Artificial intelligence , which can recommend the course of operative intervention.
Moreover, training with assistive Artificial intelligence allows surgeons to learn future technology.
Training Simulator integrates with peripheral devices: intelligent input device LevshAi, brain-computer interface for surgeons and e.t.c.. Haptic feedback of the compatible input device allows novice surgeons to test what the surgeons’ hands feel in the operating room.
1) The Training Simulator allows novice surgeons to train in classical and robotic surgery without compromising patients. Novel surgeons can be trained on simulation instead of patients.
2) The Training Simulator allows to implement online training and connect world-class surgeons to the practical course.
3) The Training simulator allows new surgeons to be trained in modern methods of endovascular surgery and innovative telesurgery methods using the LevshAi Ecosystem. It leads to technological advances.
4) The training simulator is safe for doctors. X-rays do not expose novice doctors. Simulator uses X-ray images identical to those in the operating room during surgery.
Personalised Surgery
.Personalised Neurosurgery is an interactive and reliable 3D simulation, adapted to the patient vessels’ anatomy.
Personalised Surgery = 3D Simulator + AI Server + Input Device
Personalised Neurosurgery involves simulating the vessels of a particular patient and then training on a simulator before the operation begins.
Personalised Surgery allows an unlimited number of training operations on an individual model of the patient’s brain vessels.
Personalised Surgery allows to select an appropriate surgical tactics for the particular patient.
Artificial Intelligence
Ai-server takes medical images of the particular patient from the 3D simulator on the client side.
Then, Ai-server generates 3D simulation models and send them back into the 3D simulator on the client side.
Personalised Surgery integrates with peripheral devices. For example, integration with a peripheral intelligent input device with tactile feedback allows surgeons to prepare for surgery even with haptic feedback.
Personalised Neurosurgery allow operating on a brain simulation, almost indistinguishable from an actual operation. о
Personalised Surgery Benefits
1) Can reduce risk of complications from 30% to about 0%.
2) Can reduce rehabilitation from 5-14 days to 1-5 days on average by decreasing the complication burden.
3) Can be used for surgical training at Medical Schools. Novel surgeons can be trained on simulation instead of patients.
4) Can be integrated into the telemedicine solutions, such as Operating LevshAi, etc.
Operating Solution
The Operating LevshAI consists of two main units: an operating executive unit and a control unit. The control unit is located in the surgeon’s room. This block is identical to the Traning LevshAI input device. The purpose of this design solution is to allow simulator-trained surgeons to adapt to Operating LevshAI as quickly as possible.
Company activity
Java/Scala/Kotlin, Python, C/C++, Verilog.
Company news
On March 20, 2023, we start piloting our ecosystem at Medical schools.
On February 10-12, 2023, Alexandra Bernadotte was Session Chair at the international conference «9th International Conference on Automation, Robotics and Applications» (ICARA 2023) in Abu Dhabi.
On December 19, 2022, Neurosputnik LLC became a resident of Skolkovo, having received 23 out of 25 possible votes from Skolkovo experts.
Russian Endovascular Neuro Society
has tested Training LevshAI.
On August 26, 2022, two months after the start, Neurosputnik team presented a MVP of Training LevshAI.
The high-tech company LLC Neurosputnik was established on July 15, 2022.
Company team
Alexandra Bernadotte, CEO
CEO, system architect, data analysis team leader.
MD, PhD, Associate Professor in Computer Science. Moscow State University, MISiS, HSE, Karolinska Institute, Harvard University. Experience in managing technological (SberDevices) and scientific teams (MISiS, Karolinska Institute) is >7 years.
Ivan Menshikov, CTO
CTO, software team leader.
Master of Mathematics, Moscow Institute of Physics and Technology. Ivan has 7+ years of experience in managing a development team.
Pavel Gorbokonenko, hardy
Hardware team leader.
Nanotechnology engineer in electronics, MIREA. Pavel has 5+ years of experience in managing a development team.