Joint Analytics

AI-Driven Movement Analysis

Joint Analytics transforms musculoskeletal medicine by bringing movement scans into mainstream use, backed by sophisticated AI.

Individuals can self-refer, or be referred by healthcare professionals, for a movement scan which provides immediate online results to facilitate injury prevention, rehabilitation and the diagnosis and treatment of musculoskeletal conditions.

FAQs

Dynamic Movement Analysis

Traditional methods of imaging the body do not look at function
We accurately measure even the fastest movements and analyse the way your body moves and the forces applied to your joints so that you have precise and accurate details about your movement health

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What is Movement Analysis?

Movement Analysis includes the use of video cameras with adjustable markers placed on your body. This technology makes it:

Standardised	Same method of measuring in any clinic
Objective	No bias involved
Accurate	Millimeter accuracy and 20° more accurate than the human eye
Reliable	No variation in performance

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Joint Analytics was founded by a multi-disciplinary team of professionals aiming to provide access to advanced and highly valuable technology within musculoskeletal medicine.

Mr Niel Kang

Clinical Lead

Consultant Orthopaedic surgeon
Lecturer Cambridge University
Director of Education, East of England surgical training
Panel member for international benchmarking of shoulder replacements

Dr Tom Stone

Chief Scientist

Clinical Scientist Healthcare Professional
Biomechanical expert
Established and leads Cambridge Clinical Movement Laboratory
Founder Clinical Engineering Innovation, Cambridge University

Mark Keenan

CEO

Engineer, Business leader, Strategist
Technology & AI background
Senior corporate management & technology startup experience