Diagnostics and treatment of the musculoskeletal system using Musculus.ai is based on artificial intelligence, machine learning, and computer vision.
Each video of a user performing a diagnostic exercise is analyzed frame by frame using a pretrained high-precision neural network. The data from the neural network output characterize the individual's physical features and form their digital twin. The obtained digital twin of the athlete is stored in the decision support system database.

The product is developed using Flutter to make the service available on all mobile platforms for end users. The technology stack includes Postgresql for data management, PHP and Phalcon for server-side development, Python for machine learning algorithms and Dart for mobile application development.

Computer vision algorithms recognize over 50 key points of the musculoskeletal system and analyze over 600 body parameters. This allows for a digital representation of the individual's physical features, comparison with reference values in the system, and detection of deviations from the norm in the functioning of the musculoskeletal system components.

Based on machine learning models and data analysis, the system generates training plans for the user, recommends exercise routines, tracks exercise execution, and analyzes the dynamics of changes in the user's digital twin. The results are stored in the database for subsequent use and display in the system interface.

The product is developed using Flutter to ensure service accessibility on all mobile platforms for end users.

Yes, Musculus technology is already being used by:

• The Federal Center for Traumatology, Orthopedics, and Endoprosthetics (Smolensk) for effective rehabilitation of patients after joint replacement surgeries.
• Federal Center for Sports Training of National Teams of Russia for injury prevention and musculoskeletal disorders specific to professional athletes, individual rehabilitation programs for athletes, and improving sports results.
• The Federation of Ski Jumping and Nordic Combined of Russia to cluster athletes based on physical indicators, monitor athletes’ health, form individual training plans, prevent professional injuries, and reduce the risk of early career termination for athletes.
• The Federation of Thai Boxing-Muaythai of Russia for detection of musculoskeletal deviations at an early stage in athletes, injury prevention, treatment of acute and chronic musculoskeletal disorders, and athlete rehabilitation through individual training programs.
• The Sportmaster sports store for diagnosing musculoskeletal disorders in customers offline and online, creating individual workout programs for rehabilitation using equipment from the store's catalog, and enhancing customer experience.
• Several major corporations under NDA agreements for office employee health care, prevention of sedentary lifestyle-related diseases, and increasing employee productivity.
• Several manufacturing facilities using manual labor under NDA agreements for prevention of musculoskeletal disorders caused by physical workload, developing individual training programs for employee health restoration, and proper rest from high physical stress.

Moreover, the Musculus.ai methodology has been recognized and approved by the Ministry of Sports of the Russian Federation and will be mandatory in the state sports system within 5 years.

Computer vision and data processing using a high-precision neural network allow achieving accuracy of over 95% in detections of the physical characteristics of the user's musculoskeletal system and measuring the angles between the components of the musculoskeletal system. Additionally, the system stores data on the user's musculoskeletal diseases and injuries, lifestyle, age, and weight. Based on this information and diagnostic data, an individual health-improvement training program is compiled.

Such detailed user profiling enables achieving high efficiency and improving the condition of the musculoskeletal system already within the first month of program completion.

The data obtained during diagnostics and user profiling are analyzed and approved by leading experts of the Musculus.ai team: functional trainers of the Russian Olympic teams, rehabilitation physicians, and physiotherapists.

Video from your smartphone camera allows us to create an accurate digital replica of your musculoskeletal system by recognizing its key points. The video is processed and analyzed by a high-precision neural network to detect deviations in the functioning of the musculoskeletal system. The video is stored in a securely protected repository along with the data of your digital twin, diagnostic results, and assigned workouts. Access to viewing is granted only to the functional coach and physician if there is a need to adjust the conclusions about your health status made by the system.

Anonymized data about your digital twin is usually sufficient to make valid conclusions. However, if necessary, your videos of performance of diagnostic exercises can be viewed by a functional coach, rehabilitation physician, or physiotherapist to make more accurate and appropriate conclusions about the condition of your musculoskeletal system and thus create a more suitable health-improvement program. We securely store all the data you provide us with.

Musculus.ai helps people to prevent acute and chronic musculoskeletal disorders, restore muscle and joint health after physical, sports, and professional exertion. According to the WHO, approximately 1.71 billion people worldwide suffer from musculoskeletal disorders and diseases. The current healthcare system is slow, inefficient, and does not consider all the individual characteristics of each person. We want to completely remove all barriers and frictions that prevent people from accessing medical examinations and recommendations. We aim to maximize people's lifespan by democratizing access to preventive care and healthcare management. We envision a future where everyone can constantly monitor, understand, and make decisions about their health status in a matter of seconds, no matter where they are.

Yes, studies show that Musculus.ai technology allows tracking athletes' movements and assessing their correctness, detecting deviations in the athlete's musculoskeletal system, developing effective individual training plans, and adjusting execution techniques to prevent injuries and improve performance. Additionally, the application of the technology enhances interaction between athletes and medical personnel, as it enables medical professionals to promptly respond to emerging musculoskeletal problems in athletes. You can read about it at the link provided.
Other studies demonstrate the effectiveness of applying Musculus technology for rehabilitating patients after joint replacement surgery, specifically for creating a personalized and effective treatment plan for the patient. You can read about it here in the publication "Ontological approach to building an individual rehabilitation plan for patients after joint replacement surgery."

Our team continuously investigates the effectiveness of using computer vision, machine learning, and artificial intelligence for diagnosing and treating the musculoskeletal system. For example, we are studying the dynamics of improving the musculoskeletal health of athletes in the long term on a large sample of subjects, examining the positive impact of the technology on rehabilitating patients after joint surgeries, and conducting other studies aimed at various aspects of the technology. To draw conclusions, we involve scientific experts, specialized physicians, and specialists from the field of high-performance sports. We publish up-to-date research findings on our website - stay tuned for updates.

Yes, our team includes strong expertise in msk rehabilitation, physiotherapy, and sports medicine. The following professionals work on the technology:

• Andrey Andreevich Abramov, physiotherapist, rehabilitation specialist, and therapeutic exercise physician with 12 years of experience. He specializes in rehabilitative medicine, therapeutic exercise, and sports medicine. From 2014 to 2018, he served as the chief physician of the Russian national rhythmic gymnastics team.
• Sergey Georgievich Sheremetev, a physician of the Federal Biomedical Agency of Russia, physician of the Russian national teams, candidate of medical sciences, top-ranked physician, and honored healthcare professional of Russia.

We guarantee that:

• all data is encrypted;
• we securely store all data, including videos, and strictly limit access to them;
• all data and videos are deleted upon your request, for example, if you want to delete your account and stop using the technology.

Also, please read our privacy policy for more detailed information.