Harnessing MAI Motion Technology to Strengthen Knees in Osteoarthritis Patients: A Biomechanical and AI-Powered Approach

Introduction

Osteoarthritis is one of the most common joint conditions, affecting millions worldwide. When it targets the knee, it brings pain, stiffness, and a frustrating sense of instability, making everyday activities like walking or standing up more challenging. Strengthening the knee to restore stability is essential to managing osteoarthritis and maintaining mobility.

This is where MAI Motion technology comes in—a modern, markerless motion capture system that offers a more comfortable and insightful way to assess knee function . Unlike traditional systems that require sensors attached to the body, MAI Motion uses advanced cameras and smart algorithms to analyse movement naturally and unobtrusively. With the power of machine learning , this technology delivers detailed, personalised insights into each patient’s knee mechanics , empowering healthcare professionals to design better rehabilitation plans for every individual.

Evidence-Based Strengthening Protocols

The real advantage of MAI Motion lies in its focus on evidence-based care. By tracking leg movements during everyday activities like standing up from a chair, it collects precise data about knee strength and stability.

Traditionally, clinicians have used a five-repetition sit-to-stand test to measure lower-limb strength and stability. However, recent research shows that three repetitions offer equally reliable results—making assessments quicker and less demanding for patients, while still providing the meaningful information clinicians need. In fact, many participants in recent studies said they preferred the shorter test, finding it easier and less tiring.

These objective, personalised measurements help clinicians identify exactly how each patient’s knee is functioning. With this knowledge, rehabilitation programmes can be better tailored to target the muscles and movements that need the most support. The result is more effective patient recovery and care that’s guided by solid, actionable data.

How Artificial Intelligence and Markerless Technology Transform Knee Care

The combination of artificial intelligence and markerless motion capture in MAI Motion represents a major leap forward in knee rehabilitation . But how does it work in practice?

AI, in this context, refers to computer algorithms that learn from large sets of movement data—recognising patterns, identifying issues, and supporting clinical decisions. When a patient performs a movement test like sit-to-stand, MAI Motion automatically analyses aspects such as how deeply the knee bends, how quickly the movement is performed, and whether both legs are sharing the load. These biomechanical markers reveal valuable clues about joint health and stability.

Because MAI Motion doesn’t require any physical markers or sensors to be attached to the body, it’s much more convenient and comfortable for patients. It’s also versatile, operating outside of specialised labs so that more clinics and patients can access its benefits. By providing a more natural picture of how people move, this technology gives clinicians richer insights and more reliable data to guide treatment.

Recent research demonstrates that systems like MAI Motion improve the accuracy and relevance of movement analysis for personalised care. The technology enables clinicians to monitor progress closely and adapt rehabilitation in real time—helping patients regain knee strength more efficiently and safely.

Practical Use and Future Possibilities

MAI Motion technology is already in use in clinics, helping physiotherapists and doctors create tailored exercise programmes and track patient progress more precisely. Studies have shown noticeable improvements in knee strength and stability, leading to improved mobility and less pain for osteoarthritis patients.

Looking to the future, the potential of this technology is even greater. Picture patients receiving immediate feedback at home as they complete their exercises, which could boost motivation and help them use correct form. Imagine MAI Motion’s data being integrated with broader digital health platforms, enabling early detection of setbacks and timely intervention.

Such advances could help people maintain independence, reduce the need for surgery, and make healthcare delivery more efficient and patient-focused.

Conclusion

MAI Motion technology provides a powerful, evidence-based approach to supporting and strengthening knees affected by osteoarthritis. By combining advanced motion analysis , AI, and a comfortable markerless system, clinicians can create truly personalised rehabilitation plans that promote joint stability and a better quality of life.

This not only improves outcomes for patients but also streamlines clinical practice, supporting a more proactive and patient-centred style of care. As this technology continues to evolve, it holds real promise to transform osteoarthritis management—offering hope and improved mobility to millions around the world.