Imagine trying to carve a precise piece of wood to fix a crooked table leg, but doing it while the table is already standing. That is how hard it is for surgeons to plan knee surgeries to fix bowlegs. This tool acts like a smart GPS that automatically calculates exactly where to cut in seconds, removing the guesswork. It helps patients keep their own joints instead of getting a metal replacement.
Knee osteotomies are too complex to plan manually, leading surgeons to choose expensive joint replacements. This results in higher hospital costs, more medical waste, and poorer long-term patient mobility.
The PeekMed-Auto module, an AI-based software that fully automates the pre-operative planning of knee osteotomies using deep learning and image processing.
If you are a private clinic dealing with high rates of expensive joint replacements — this project developed an AI planning module that allows surgeons to perform less invasive osteotomies. This reduces the need for costly implants and shorter hospital stays.
If you are a software provider dealing with manual, error-prone preoperative tools — this project developed a deep learning system that automates planning in seconds. This increases surgical accuracy and reduces the risk of re-hospitalization.
If you are a hospital network dealing with excessive costs from joint replacement inventory and sterilization — this project developed PeekMed-Auto to shift patients toward bone-preserving surgeries. This lowers the overall cost of care and reduces environmental pollution from medical waste.
Based on available project data, the specific price per license is not mentioned, but the project aims to reduce overall hospital costs by replacing expensive joint replacements with osteotomies.
Yes, the system is based on a successful manual version that has already gained strong market traction, indicating it is designed for commercial scaling.
Based on available project data, the technology is developed by Peek Health SA, but specific licensing terms are not provided in the report.
The tool is designed to be fast and easy-to-use, reducing planning time to only a few seconds during the pre-operative phase.
The company expects to generate over €40M in revenue by 2026.
The project is led by a single SME, Peek Health SA from Portugal. With a 100% industry ratio and no university or research partners, the consortium is lean and focused entirely on commercial execution and market entry rather than academic exploration.
Contact Peek Health SA in Portugal
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