Significant advancement in surgical phase recognition for arthroscopy
- brigitterohner
- 10. Juni
- 1 Min. Lesezeit
The study – performed by Ali Bahari Malayeri et al. at Balgrist University Hospital as part of our Innosuisse Flagship project PROFICIENCY - is introducing the first ACL-specific dataset and a powerful transformer-based model for surgical phase recognition.

By integrating spatio-temporal features and a novel Surgical Progress Index, the model effectively handles the visual complexity of real procedures. Achieving strong performance across two datasets, it sets a new benchmark for accuracy and reliability in phase recognition. This work opens the door to smarter surgical training, real-time assistance, and greater efficiency in orthopedic surgery.
More details about this study you can learn here.
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