S 3 offers M.A.R.I.O, a smartphone‑based surgical navigation platform for total knee replacement. It creates a patient‑specific alignment model from pre‑operative imaging, then provides real‑time on‑screen guidance for pin placement and cutting‑jig positioning, achieving average alignment errors of about 1.5°. By eliminating expensive robotic hardware, the system delivers a cost‑effective, easy‑to‑use solution for orthopedic surgeons and hospitals seeking accurate, accessible navigation.
Funding
Funding not disclosed
Founders
Product
Problem
Conventional total knee replacement (TKR) procedures rely on expensive robotic systems or patient‑specific instrumentation, leading to high costs, limited accessibility, and alignment errors in up to 30% of cases, which increase pain, instability, and revision surgery rates.
Solution
M.A.R.I.O is a smartphone‑based surgical navigation platform that prepares a patient‑specific alignment model from pre‑operative imaging and delivers real‑time on‑screen guidance for pin placement and cutting jig positioning during TKR. The system processes images in the cloud, loads the trained model onto a standard mobile device, and provides intuitive visual cues to achieve accurate valgus/varus alignment with minimal training. By eliminating the need for dedicated robotic hardware, M.A.R.I.O reduces equipment costs and expands access to precise navigation in a wide range of operating rooms. Integrated real‑time ligament balancing further refines implant positioning, aiming to lower postoperative complications and the likelihood of revision surgery.
Target Audience
Primary customers are orthopedic surgeons and hospitals performing total knee replacements, particularly those seeking affordable navigation solutions without investing in costly robotic systems.
Features
- Smartphone‑driven interface that loads a pre‑processed navigation model directly onto a standard mobile device
- Real‑time on‑screen guidance for surgical pin placement and cutting jig fixation with average angular error of ~1.5°
- Intra‑operative ligament balancing to optimize alignment and joint stability
- Universal compatibility with existing orthopedic instruments and cutting jig systems
- Cost‑effective alternative to high‑price robotic platforms, improving accessibility in low‑resource settings
- Cloud‑based image processing and model training that requires no on‑site computational hardware