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Sequential surgical signatures in micro-suturing task
- Source :
- International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩, International Journal of Computer Assisted Radiology and Surgery, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Purpose: Surgical processes are generally only studied by identifying differences in populations such as participants or level of expertise. But the similarity between this population is also important in understanding the process. We therefore proposed to study these two aspects. Methods: In this article, we show how similarities in process workflow within a population can be identified as sequential surgical signatures. To this purpose, we have proposed a pattern mining approach to identify these signatures.Validation: We validated our method with a data set composed of seventeen micro-surgical suturing tasks performed by four participants with two levels of expertise.Results: We identified sequential surgical signatures specific to each participant , shared between participants with and without the same level of expertise. These signatures are also able to perfectly define the level of expertise of the participant who performed a new micro-surgical suturing task. However, it is more complicated to determine who the participant is, and the method correctly determines this information in only 64% of cases.Conclusion: We show for the first time the concept of sequential surgical signature. This new concept has the potential to further help to understand surgical procedures and provide useful knowledge to define future CAS systems.
- Subjects :
- Computer science
Process (engineering)
Surgical training
0206 medical engineering
Population
Biomedical Engineering
Health Informatics
02 engineering and technology
[SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery
computer.software_genre
Health informatics
030218 nuclear medicine & medical imaging
Task (project management)
Pattern Recognition, Automated
Workflow
03 medical and health sciences
0302 clinical medicine
Pattern mining
Similarity (psychology)
Micro-surgery
Humans
Radiology, Nuclear Medicine and imaging
education
education.field_of_study
business.industry
Suture Techniques
General Medicine
Work in process
020601 biomedical engineering
Computer Graphics and Computer-Aided Design
Computer Science Applications
Data set
Surgery, Computer-Assisted
Suturing
Surgery
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Computer Vision and Pattern Recognition
Artificial intelligence
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
business
computer
Natural language processing
Subjects
Details
- Language :
- English
- ISSN :
- 18616410 and 18616429
- Database :
- OpenAIRE
- Journal :
- International Journal of Computer Assisted Radiology and Surgery, International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩, International Journal of Computer Assisted Radiology and Surgery, 2018, 13 (9), pp.1419-1428. ⟨10.1007/s11548-018-1775-x⟩
- Accession number :
- edsair.doi.dedup.....a6a5e841e52d7704372187feb61458ce
- Full Text :
- https://doi.org/10.1007/s11548-018-1775-x⟩