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Minimally Invasive Therapy & Allied Technologies Volume 28, 2019 - Issue 2: Artificial intelligence in the operating room

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Review Article

Surgical process modelling strategies: which method to choose for determining workflow?

Maryam GholinejadDepartment of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, the NetherlandsCorrespondence[email protected]
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Arjo J. LoeveDepartment of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, the NetherlandsView further author information

Jenny DankelmanDepartment of Biomechanical Engineering, Faculty of Mechanical, Maritime and Materials Engineering, Delft University of Technology, Delft, the NetherlandsView further author information

Pages 91-104 | Received 25 Oct 2018, Accepted 04 Mar 2019, Published online: 27 Mar 2019

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https://doi.org/10.1080/13645706.2019.1591457
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Martin Schenk, Juliane Neumann, Nadine Adler, Tilo Trommer, Jan Theopold, Thomas Neumuth & Pierre Hepp. (2023) A comparison between a maximum care university hospital and an outpatient clinic – potential for optimization in arthroscopic workflows?. BMC Health Services Research 23:1.
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Maryam Gholinejad, Bjørn Edwin, Ole Jakob Elle, Jenny Dankelman & Arjo J. Loeve. (2023) Process model analysis of parenchyma sparing laparoscopic liver surgery to recognize surgical steps and predict impact of new technologies. Surgical Endoscopy.
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Krystel Nyangoh Timoh, Arnaud Huaulme, Kevin Cleary, Myra A. Zaheer, Vincent Lavoué, Dan Donoho & Pierre Jannin. (2023) A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video. Surgical Endoscopy 37:6, pages 4298-4314.
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Juliane Neumann, Alexandr Uciteli, Tim Meschke, Richard Bieck, Stefan Franke, Heinrich Herre & Thomas Neumuth. (2022) Ontology-based surgical workflow recognition and prediction. Journal of Biomedical Informatics 136, pages 104240.
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Maryam Gholinejad, Egidius Pelanis, Davit Aghayan, Åsmund Avdem Fretland, Bjørn Edwin, Turkan Terkivatan, Ole Jakob Elle, Arjo J. Loeve & Jenny Dankelman. (2022) Generic surgical process model for minimally invasive liver treatment methods. Scientific Reports 12:1.
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Ella Lan. (2022) A Novel Deep Learning Architecture By Integrating Visual Simultaneous Localization And Mapping (Vslam) Into Cnn For Real-Time Surgical Video Analysis. A Novel Deep Learning Architecture By Integrating Visual Simultaneous Localization And Mapping (Vslam) Into Cnn For Real-Time Surgical Video Analysis.

Jani Koskinen, Antti Huotarinen, Antti-Pekka Elomaa, Bin Zheng & Roman Bednarik. (2021) Movement-level process modeling of microsurgical bimanual and unimanual tasks. International Journal of Computer Assisted Radiology and Surgery 17:2, pages 305-314.
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Daichi Kitaguchi, Nobuyoshi Takeshita, Hiroki Matsuzaki, Hiro Hasegawa, Takahiro Igaki, Tatsuya Oda & Masaaki Ito. (2021) Deep learning-based automatic surgical step recognition in intraoperative videos for transanal total mesorectal excision. Surgical Endoscopy 36:2, pages 1143-1151.
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Fabio Carrillo, Hooman Esfandiari, Sandro Müller, Marco von Atzigen, Aidana Massalimova, Daniel Suter, Christoph J. Laux, José M. Spirig, Mazda Farshad & Philipp Fürnstahl. (2022) Surgical Process Modeling for Open Spinal Surgeries. Frontiers in Surgery 8.
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Michael P. Rogers, Anthony J. DeSantis, Haroon Janjua & Paul C. Kuo. (2021) The present and future state of machine learning for predictive analytics in surgery. The American Journal of Surgery 221:6, pages 1298-1299.
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R. M. Koshy, M. Ali, T. Fernando & V. S. Menon. (2020) The Hernia ‘CAMP’ model: a collaborative action to maximise productivity within the NHS. Hernia 24:4, pages 903-906.
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François Chadebecq, Francisco Vasconcelos, Evangelos Mazomenos & Danail Stoyanov. (2020) Computer Vision in the Surgical Operating Room. Visceral Medicine 36:6, pages 456-462.
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