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Bektaş et al. Art Int Surg 2022;2:132-43 https://dx.doi.org/10.20517/ais.2022.20 Page 140

In conclusion, ML models have shown promising predictive capabilities for relevant clinical challenges and
surgical outcomes in HPB surgery. The potential of ML has been demonstrated for pre-, intra-, and
postoperative purposes. Therefore, future studies should focus on gaining external validation to facilitate the
clinical introduction of ML.

DECLARATIONS
Authors’ contributions
Participated in the design of the study, data collection and interpretation, wrote and submitted the
manuscript: Bektaş M
Revised the manuscript critically and wrote parts of the manuscript: Zonderhuis BM
Revised the manuscript critically and wrote parts of the manuscript: Marquering HA
Participated in the design of the study, and interpretation of data: Costa Pereira J
Performed the literature search: Burchell GL
Participated in the design of the study, and revised the manuscript critically: van der Peet DL
All authors approved the final version of the manuscript.

Availability of data and materials
Not applicable.

Financial support and sponsorship
None.

Conflicts of interest
All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2022.

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