ArticleInternational journal of computer assisted radiology and surgery2015
Automatic phase prediction from low-level surgical activities.
Article in International journal of computer assisted radiology and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Process model analysis of parenchyma sparing laparoscopic liver surgery to recognize surgical steps and predict impact of new technologies.Surgical endoscopy · 2023Article
- Multi-Stage Temporal Convolutional Network with Moment Loss and Positional Encoding for Surgical Phase Recognition.Diagnostics (Basel, Switzerland) · 2022Article
- State-of-the-art of situation recognition systems for intraoperative procedures.Medical & biological engineering & computing · 2022Review
- Real-Time Tool Detection for Workflow Identification in Open Cranial Vault Remodeling.Entropy (Basel, Switzerland) · 2021Article
- LRTD: long-range temporal dependency based active learning for surgical workflow recognition.International journal of computer assisted radiology and surgery · 2020Article
- Surgical phase modelling in minimal invasive surgery.Surgical endoscopy · 2019Article
- Surgical skills: Can learning curves be computed from recordings of surgical activities?International journal of computer assisted radiology and surgery · 2018Article
- Progress Estimation and Phase Detection for Sequential Processes.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2017Article
- Language-Based Process Phase Detection in the Trauma Resuscitation.Proceedings. IEEE International Conference on Healthcare Informatics · 2017Article
- Deep Learning for RFID-Based Activity Recognition.Proceedings of the ... International Conference on Embedded Networked Sensor Systems. International Conference on Embedded Networked Sensor Systems · 2016Article
- Online Process Phase Detection Using Multimodal Deep Learning.Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE Annual · 2016Article
- System events: readily accessible features for surgical phase detection.International journal of computer assisted radiology and surgery · 2016Article
- Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.International journal of computer assisted radiology and surgery · 2016Article
- Activity Recognition for Medical Teamwork Based on Passive RFID.IEEE International Conference on RFID. IEEE International Conference on RFID · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAnalyzing surgical activities has received a growing interest in recent years. Several methods have been proposed to identify surgical activities and surgical phases from data acquired in operating rooms. These context-aware systems have multiple applications including: supporting the surgical team during the intervention, improving the automatic monitoring, designing new teaching paradigms.
methodsIn this paper, we use low-level recordings of the activities that are performed by a surgeon to automatically predict the current (high-level) phase of the surgery. We augment a decision tree algorithm with the ability to consider the local context of the surgical activities and a hierarchical clustering algorithm.
resultsExperiments were performed on 22 surgeries of lumbar disk herniation. We obtained an overall precision of 0.843 in detecting phases of 51,489 single activities. We also assess the robustness of the method with regard to noise.
conclusionWe show that using the local context allows us to improve the results compared with methods only considering single activity. Experiments show that the use of the local context makes our method very robust to noise and that clustering the input data first improves the predictions.
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