ArticleInternational journal of computer assisted radiology and surgery2018
Sequential surgical signatures in micro-suturing task.
Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Artificial intelligence-enhanced microsurgical training: a systematic review.NPJ digital medicine · 2026Article
- Predicting the quality of surgical exposure using spatial and procedural features from laparoscopic videos.International journal of computer assisted radiology and surgery · 2020Article
- Automatic annotation of surgical activities using virtual reality environments.International journal of computer assisted radiology and surgery · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSurgical 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.
methodsIn 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.
resultsWe 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.
conclusionWe 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.
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