Artificial intelligence facilitates the potential of simulator training: An innovative laparoscopic surgical skill validation system using artificial intelligence technology
The AI-based forceps tracking system can visualize and evaluate laparoscopic surgical skills. Improvements in the proposed system and AI self-learning are expected to enable it to distinguish the techniques of expert and novice surgeons accurately. This system is a useful tool for surgeon training and assessment.
Authors
- Atsuhisa Fukuta (ORCID: https://orcid.org/0000-0002-7988-3648)
- Tatsuro Tajiri (ORCID: https://orcid.org/0009-0006-6314-2024)
- Junnosuke Maniwa
- Takuya Kondo (ORCID: https://orcid.org/0000-0003-2873-2417)
- Kouji Nagata (ORCID: https://orcid.org/0000-0002-8933-8889)
- Naonori Kawakubo (ORCID: https://orcid.org/0000-0003-0010-4902)
- Akihiko Tamaki (ORCID: https://orcid.org/0000-0002-0578-986X)
- Toshiharu Matsuura (ORCID: https://orcid.org/0000-0002-4937-3890)
- Shogo Yamashita
Institutions
- Kyushu University (JP)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1007/s11548-024-03253-5
- Citations
- 7
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- Japanese Foundation for Research and Promotion of Endoscopy
- Casio Science Promotion Foundation
- Japan Society for the Promotion of Science