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Recommendation for Evidence-based Preoperative AI-controlled virtual Reduction and osteosynthesis of complex fractures (REPAIR)

In Germany alone, hundreds of thousands of people suffer bone fractures every year as a result of accidents at home, during sport or in traffic. Complex and multi-fragmentary fractures, which may also involve joints, represent a particular challenge for the trauma surgery teams treating them. If surgery is indicated, the intraoperative reconstruction of joint surfaces and anatomical load axes as well as the biomechanically correct selection and positioning of implants are decisive for the individual post-operative healing success and rehabilitation process of the patients entrusted to us. Perfect planning of operations is therefore essential to minimise complications during and after the operation and to provide the best possible basis for the healing process.

The aim of REPAIR is to support trauma surgery teams in complex fractures by making recommendations using artificial intelligence (AI) – both for the anatomical reduction to the pre-traumatic normal position and for the selection and positioning of implants during osteosynthesis. REPAIR is being funded for three years, starting in 2023, as a healthcare research project by the Innovation Committee of the Federal Joint Committee.

In addition to our main project website, this site provides further information about the project, the team, publications, sample data and much more. If you have any further questions or suggestions, please do not hesitate to contact us.

Contact

Dr.-Ing. Mark Heyland
Julius Wolff Institute
Contact

Julian Zierke
Julius Wolff Institute
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