Inter-hospital transferability of AI: A case study on phase recognition in cholecystectomy

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Lasse Renz-Kiefel, Sebastian Lünse, René Mantke, Peter Eisert, Anna Hilsmann, Eric L. Wisotzky

Published: 2025, Last Modified: 01 Mar 2026Comput. Biol. Medicine 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Transfer models to new environments for surgical phase recognition based on public data.•High degree of heterogeneity is preferable to a lot of homogeneous data in training.•Combining public data in balanced fashion leads to significant improved performance.•Phase transitions are training depended due to ambiguous frames in that time.•xAI reveals manufacturer-specific instrument dependencies for model performance.