Can surgeons trust AI?: Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI)
Purpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery. Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data an...
Gespeichert in:
| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
28 January 2025
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| In: |
Langenbeck's archives of surgery
Year: 2025, Jahrgang: 410, Pages: 1-5 |
| ISSN: | 1435-2451 |
| DOI: | 10.1007/s00423-025-03626-7 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00423-025-03626-7 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00423-025-03626-7 |
| Verfasserangaben: | Johanna M. Brandenburg, Beat P. Müller-Stich, Martin Wagner, Mihaela van der Schaar |
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| 245 | 1 | 0 | |a Can surgeons trust AI? |b Perspectives on machine learning in surgery and the importance of eXplainable Artificial Intelligence (XAI) |c Johanna M. Brandenburg, Beat P. Müller-Stich, Martin Wagner, Mihaela van der Schaar |
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| 520 | |a Purpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery. Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data and time series, as well as similarity classification, and unraveled rules and laws. Results: Given the increasing interest in artificial intelligence within the surgical field, we emphasize the critical importance of transparency and interpretability in the outputs of applied models. Conclusion: Transparency and interpretability are essential for the effective integration of AI models into clinical practice. | ||
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Explainable artificial intelligence | |
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| 650 | 4 | |a Minimally invasive surgery | |
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