Aliado - a design concept of AI for decision support in oncological liver surgery
Background - The interest in artificial intelligence (AI) is increasing. Systematic reviews suggest that there are many machine learning algorithms in surgery, however, only a minority of the studies integrate AI applications in clinical workflows. Our objective was to design and evaluate a concept...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
July 2025
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| In: |
European journal of surgical oncology
Year: 2025, Jahrgang: 51, Heft: 7, Pages: 1-9 |
| ISSN: | 1532-2157 |
| DOI: | 10.1016/j.ejso.2024.108669 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.ejso.2024.108669 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0748798324007212 
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| Verfasserangaben: | A. Schulze, M. Haselbeck-Köbler, J.M. Brandenburg, M.T.J. Daum, K. März, S. Hornburg, H. Maurer, F. Myers, G. Reichert, S. Bodenstedt, F. Nickel, M. Kriegsmann, M.O. Wielpütz, S. Speidel, L. Maier-Hein, B.P. Müller-Stich, A. Mehrabi, M. Wagner |
MARC
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| 520 | |a Background - The interest in artificial intelligence (AI) is increasing. Systematic reviews suggest that there are many machine learning algorithms in surgery, however, only a minority of the studies integrate AI applications in clinical workflows. Our objective was to design and evaluate a concept to use different kinds of AI for decision support in oncological liver surgery along the treatment path. - Methods - In an exploratory co-creation between design experts, surgeons, and data scientists, pain points along the treatment path were identified. Potential designs for AI-assisted solutions were developed and iteratively refined. Finally, an evaluation of the design concept was performed with n = 20 surgeons to get feedback on the different functionalities and evaluate the usability with the System Usability Scale (SUS). Participating surgeons had a mean of 14.0 ± 5.0 years of experience after graduation. - Results - The design concept was named “Aliado”. Five different scenarios were identified where AI could support surgeons. Mean score of SUS was 68.2 ( ± 13.6 SD). The highest valued functionalities were “individualized prediction of survival, short-term mortality and morbidity”, and “individualized recommendation of surgical strategy”. - Conclusion - Aliado is a design prototype that shows how AI could be integrated into the clinical workflow. Even without a fleshed out user interface, the SUS already yielded borderline good results. Expert surgeons rated the functionalities favorably, and most of them expressed their willingness to work with a similar application in the future. Thus, Aliado can serve as a surgical vision of how an ideal AI-based assistance could look like. | ||
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| 650 | 4 | |a Surgery | |
| 650 | 4 | |a Surgical data science | |
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