AIRO - The Australian Institute of Robotic Orthopaedics

Intelligently shaping the future of orthopaedics™

AIRO is committed to raising the global standard of care in orthopaedics by developing the means to restore an individual's pre-disease or pre-injury joint function through intelligent joint resurfacing. To meet this objective AIRO is developing three platform technologies:

HAiLO™

High-speed intelligent laser osteotomy

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AIROscan™

Real-time high resolution digital mapping

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AIRO-x™

Next-generation of orthopaedic implants

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Now is the time to deliver tomorrow™

Ruler

Sub-millimetre precision

Lightning

High speed

Joint

Non-contact and eye safe

Knee motion

Superior joint kinematics

Spirit level

Optimal positioning and joint alignment

Brain

Natural post operative feedback via ligament retention

Knee

Preservation of healthy bone

3D axis

3D contour shaping unlocks implant design constraints

3D printer

Pairing with customised implants

Bone-on-bone

Optimal bone bed surface for cementless application

Computer chip

Intelligent systems

Robot arm

Advancement of existing Gen 1.0 robotic units

Publications

Strong scientific pre-clinical evidence in development.

Wavelength weightings in machine learning for ovine joint tissue differentiation using diffuse reflectance spectroscopy (DRS)

Gunaratne, R., Goncalves, J., Monteath, I., Sheh, R., Kapfer, M., Chipper, R., Robertson, B., Khan, R., Fick, D. and Ironside, C.N. Biomed. Opt. Express 11, 5122-5131 (2020)

Machine learning classification of human joint tissue from diffuse reflectance spectroscopy data

Gunaratne, R., Monteath, I., Goncalves, J., Sheh, R., Ironside, C. N., Kapfer, M., Chipper,R., Robertson, B., Khan, R. & Fick, D. Biomedical optics express, 2019; 10(8), 3889-3898.

Computer-assisted Surgery in Revision Total Knee Replacement: A Description of the Technique

Perett, M.C., Khan, R.J.K., Fick, D.P. & Haebich, S. Tech Orthop 2019; 34(1): 40-45.

A Review of the Physiological and Histological Effects of Laser Osteotomy

Gunaratne, G.D.R., Khan, R., Fick, D.P., Robertson, B., Dahotre, N. & Ironside, C. C J Med Eng Technol 2017; 27:1-12.

Patient dissatisfaction following total knee arthroplasty: A systematic review of the literature

Gunaratne, R.G.D., Pratt, D.N., Banda, J., Fick, D.P., Khan, R.J.K. & Robertson, B.W. J Arthroplasty 2017; pii: S0883-5403(17)30619-8.

Component alignment and clinical outcome following total knee replacement: a randomised controlled trial comparing an intramedullary system with patient-matched instrumentation.

Huijbregts, H.J., Khan, R.J.K., Fick, D.P., Hall, M., Punwar, S.A., Sorensen, E., Reid, M., Velle Dedove, S. & Haebich, S. Bone Joint J 2016; 98-B: 1043-9.

Patient-specific instrumentation does not improve radiographic alignment or clinical outcome after total knee arthroplasty.

Huijbregts, H.J., Khan, R.J.K., Sorensen, E., Fick, D.P. & Haebich, S. Acta Orthop 2016; 87(4): 386-94.

The lateral parapatellar approach with computer navigation for uncorrectable valgus knees requiring arthroplasty orthopaedics.

Khan, R.J.K., Aldous, A.J.T., Wall, S. & Moe, A. Tech Ortho 2015; 30(4): 275-80.

Using Tactile-Exploration with the Unscented Kalman Filter for High Precision On-line Shape and Pose Estimation of a 3D Workpiece

Monteath I, Sheh R, Fick, D.P., Khan, R.J.K., & Robertson, B. Australian Conference on Robotics and Automation (ACRA) 2015.