Advanced Osteotomy Tools (AOT) develops the world’s first medical device to cut bones contact-free. Zühlke supports AOT with deep learning computer vision technology and creates a production-ready data platform.
FDA clearance for the US market entry
Advanced Osteotomy Tools (AOT) develops the world’s first medical device to cut bones contact-free, using a laser mounted on a tactile robot. CE-certified in commercial stage, AOT identifies huge potential for machine learning applications within its surgical field. AOT follows a tight time schedule to reach FDA clearance for the US market entry in less than a year. Within only a few months, Zühlke supports AOT from the first idea and transforms initial requirements into a production-ready data platform to empower and realize the first use case.
Medical machine learning platform
The Zühlke team with its experts in machine learning, data engineering, software development as well as regulatory requirements set up a medical machine learning process. Based on this, the team implemented and validated a regulatory compliant data platform, where data can be collected and medical grade machine learning models can be developed. Finally, they realized a first use case based on computer vision, greatly benefiting from this new platform. The solution is based on Amazon Sagemaker, AWS Simple Cloud Storage (S3), Amazon DocumentDB, AWS Identity & Access Management (IAM) and AWS Secrets Manager.
Regulatory compliance for further development
The regulatory compliant data platform allows AOT to build additional medical software regarding various medical indications. The platform greatly accelerates the development of further use cases in the near future.

Bardia M. Zanganeh
Bardia M. Zanganeh is responsible for the Life Sciences and Healthcare practice in Switzerland. He serves leading healthcare institutions on all technology agenda issues. His primary areas of focus include digital innovation, business model transformation and product innovation. He also serves providers as well as medical technology and pharmaceutical companies. He has a background in engineering, consulting and entrepreneurship and is a lecturer at the University of Applied Sciences in Business Administration in Zurich.