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Automated Assessment of Surgical Skills Using Frequency Analysis [chapter]

Aneeq Zia, Yachna Sharma, Vinay Bettadapura, Eric L. Sarin, Mark A. Clements, Irfan Essa
2015 Lecture Notes in Computer Science  
We present an automated framework for visual assessment of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria.  ...  The framework is tested on videos of medical students with different expertise levels performing basic surgical tasks in a surgical training lab setting.  ...  time windowing, texture analysis or manually defined surgical gestures. The proposed system is simple, easy to setup and is cost effective to deploy.  ... 
doi:10.1007/978-3-319-24553-9_53 fatcat:7afpz5ucrfgyvkh6ub457pyibu

Video and Accelerometer-Based Motion Analysis for Automated Surgical Skills Assessment [article]

Aneeq Zia, Yachna Sharma, Vinay Bettadapura, Eric L. Sarin, Irfan Essa
2017 arXiv   pre-print
In this paper, we present a novel approach for automated assessment of OSATS based surgical skills and provide an analysis of different features on multi-modal data (video and accelerometer data).  ...  There have been some recent attempts at automated surgical skills assessment using either video analysis or acceleration data.  ...  Background The problem of automated surgical skills assessment has recently seen some good progress.  ... 
arXiv:1702.07772v1 fatcat:dqrnar2mdbazxo2ia7puc4dani

Video and accelerometer-based motion analysis for automated surgical skills assessment

Aneeq Zia, Yachna Sharma, Vinay Bettadapura, Eric L. Sarin, Irfan Essa
2018 International Journal of Computer Assisted Radiology and Surgery  
In this paper, we present a novel approach for automated assessment of OSATS based surgical skills and provide an analysis of different features on multi-modal data (video and accelerometer data).  ...  There have been some recent attempts at automated surgical skills assessment using either video analysis or acceleration data.  ...  Background The problem of automated surgical skills assessment has recently seen some good progress.  ... 
doi:10.1007/s11548-018-1704-z pmid:29380122 fatcat:aprvcc2zubfk3lo72l4m4vsc2y

Automated video-based assessment of surgical skills for training and evaluation in medical schools

Aneeq Zia, Yachna Sharma, Vinay Bettadapura, Eric L. Sarin, Thomas Ploetz, Mark A. Clements, Irfan Essa
2016 International Journal of Computer Assisted Radiology and Surgery  
In this paper, we present an automated system for surgical skills assessment by analyzing video data of surgical activities.  ...  Purpose Routine evaluation of basic surgical skills in medical schools requires considerable time and effort from supervising faculty.  ...  The textural features derived from the frame kernel matrix are used for prediction of OSATS criteria.  ... 
doi:10.1007/s11548-016-1468-2 pmid:27567917 fatcat:pwte3k7ok5f37ef5hl74vwums4

Automated Surgical Skill Assessment in RMIS Training [article]

Aneeq Zia, Irfan Essa
2017 arXiv   pre-print
While VR-based training tasks can generate automated score reports, there is no mechanism of generating automated feedback for surgeons performing basic surgical tasks in RMIS training.  ...  Conclusions: Holistic features capturing global information from robot kinematic data can successfully be used for evaluating surgeon skill in basic surgical tasks on the da Vinci robot.  ...  Some of the recent approaches for automated surgical skills assessment in RMIS training have tried to use variants of HMM [10] given data from a task.  ... 
arXiv:1712.08604v1 fatcat:pdlwdylbf5hapmb2dfdvjy5z3i

Semiautomated Motion Tracking for Objective Skills Assessment in Otologic Surgery: A Pilot Study

Vivek V. Kanumuri, Bishoy Ameen, Osama Tarabichi, Elliott D. Kozin, Daniel J. Lee
2019 OTO Open  
Our hypothesis is that automated motion tracking via video analysis offers a way forward to provide more consistent and objective feedback for surgical trainees.  ...  In this study, otolaryngology trainees at various levels were recorded performing a cortical mastoidectomy on cadaveric temporal bones using standard surgical instrumentation and high-definition video  ...  technology has shown promise and has been successfully used to follow surgical stroke motion and predict technical expertise  ... 
doi:10.1177/2473974x19830635 pmid:31236537 pmcid:PMC6572917 fatcat:sclfem2vpbbnzjq7es7ckkocr4

Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning [article]

Erim Yanik, Uwe Kruger, Xavier Intes, Rahul Rahul, Suvranu De
2022 arXiv   pre-print
Hence, the DL model paves the way to the quantitative and reproducible evaluation of surgical tasks from videos with the potential for broad dissemination in surgical training, certification, and credentialing  ...  To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable.  ...  Therefore, we developed a video-based DL pipeline in which the surgical videos are processed to gather tool motion sequences from videos for skill assessment.  ... 
arXiv:2203.09589v1 fatcat:xxdk7svp3napbjqvju3s2xzgai

Robot-Assisted Minimally Invasive Surgical Skill Assessment—Manual and Automated Platforms

2019 Acta Polytechnica Hungarica  
The practice of Robot-Assisted Minimally Invasive Surgery (RAMIS) requires extensive skills from the human surgeons due to the special input device control, such as moving the surgical instruments, use  ...  In this paper, a review of the manual and automated RAMIS skill assessment techniques is provided, focusing on their general applicability, robustness and clinical relevance.  ...  The processed data can be classified, and the skill can be predicted based on the extracted features from the data. In [68] , we can find a motion-based automated skill assessment.  ... 
doi:10.12700/aph.16.8.2019.8.9 fatcat:a6lwuxrfyjevfobmuwoaaofmjm

Evaluation of Surgical Skills during Robotic Surgery by Deep Learning-Based Multiple Surgical Instrument Tracking in Training and Actual Operations

Dongheon Lee, Hyeong Won Yu, Hyungju Kwon, Hyoun-Joong Kong, Kyu Eun Lee, Hee Chan Kim
2020 Journal of Clinical Medicine  
In addition, surgical skill prediction models were developed using motion metrics calculated from the motion of the instruments.  ...  The surgical skill prediction models showed an accuracy of 83% with Objective Structured Assessment of Technical Skill (OSATS) and Global Evaluative Assessment of Robotic Surgery (GEARS).  ...  The surgical skill prediction models were developed using these nine calculated motion metrics as well as ground truth from OSATS and GEARS scores.  ... 
doi:10.3390/jcm9061964 pmid:32585953 fatcat:b5a6krbfyjc2pblpp2ld7bcpse

Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field [chapter]

Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
2019 Lecture Notes in Computer Science  
Then an objective and automated framework based on neural network is proposed to predict surgical skills through the proxy of COF.  ...  From analyses on this dataset, the clearness of operating field (COF) is identified as a good proxy for overall surgical skills, given its strong correlation with overall skills and high inter-annotator  ...  Then we propose an objective video-based method to predict surgical skills via the proxy of COF.  ... 
doi:10.1007/978-3-030-32254-0_53 fatcat:xjfyqyl5zbec3bjrz277kwfclq

Robotic Path Planning for Surgeon Skill Evaluation in Minimally-Invasive Sinus Surgery [chapter]

Narges Ahmidi, Gregory D. Hager, Lisa Ishii, Gary L. Gallia, Masaru Ishii
2012 Lecture Notes in Computer Science  
We evaluate our methods on surgical motions recorded from FESS training tasks. The results show that the SPP reference path predicts the OSATS scores with 88% accuracy.  ...  We also show that motions coded with DCC predict OSATS scores with 90% accuracy. Finally, the combination of SPP and DCC identifies surgical skill with 93% accuracy.  ...  Then, we introduced an OSATS-based automated skill evaluation technique.  ... 
doi:10.1007/978-3-642-33415-3_58 fatcat:mx5uohqgdfggzkif7vwcrecwkm

Pilot testing of a novel surgical simulator for endoscopic zenker's diverticulotomy

Nathan D. Wiebracht, John P. Giliberto, Charles Myer, Keith Casper, Kaalan E. Johnson
2016 The Laryngoscope  
The novel OSATS demonstrated fair live/video reliability (к=0.40) and interrater reliability (к =0.44), and moderate intra-rater reliability (к=0.60).  ...  Both groups showed significant improvements from initial to final attempts on 30 point scales for global rating by 6.2±4.2 (mean±SD, p<.001).  ...  Further investigation is needed to determine predictive validity for transferring skills to the operating room and further development of the EZ-DOES IT OSATS.  ... 
doi:10.1002/lary.26129 pmid:27900775 fatcat:gtog2xibvnfz5bw43bjwlv72yq

Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review [article]

Erim Yanik, Xavier Intes, Uwe Kruger, Pingkun Yan, David Miller, Brian Van Voorst, Basiel Makled, Jack Norfleet, Suvranu De
2021 arXiv   pre-print
Based on this review, we concluded that DNNs are powerful tools for automated, objective surgical skill assessment using both kinematic and video data.  ...  The field would benefit from large, publicly available, annotated datasets that are representative of the surgical trainee and expert demographics and multimodal data beyond kinematics and videos.  ...  Table 2b . 2b Summary of objective and automated surgical skill assessment on video-based data Form.  ... 
arXiv:2103.05113v1 fatcat:wdimnvsqdrcrpmzlaj3afpxwmm

Automatically rating trainee skill at a pediatric laparoscopic suturing task

Yousi A. Oquendo, Elijah W. Riddle, Dennis Hiller, Thane A. Blinman, Katherine J. Kuchenbecker
2017 Surgical Endoscopy  
We used regularized least squares regression to identify the most predictive features from different subsets of the motion data and then built six regression tree models that predict summed OSATS score  ...  . 59% of the rounded average OSATS score predictions were perfect, and 100% were within 1 point.  ...  Kuchenbecker reports grants and non-financial support from Intuitive Surgical, Inc., as well as equity from Verro-Touch Medical, outside the submitted work. In addition, Dr.  ... 
doi:10.1007/s00464-017-5873-6 pmid:29071419 pmcid:PMC5845064 fatcat:l5lg44eimbhx3kwwpiee5f64dy

Supporting laparoscopic general surgery training with digital technology: The United Kingdom and Ireland paradigm

Gemma Humm, Rhiannon L. Harries, Danail Stoyanov, Laurence B. Lovat
2021 BMC Surgery  
This review aims to critically evaluate key issues in laparoscopic general surgical training and the digital technology such as virtual and augmented reality, telementoring and automated workflow analysis  ...  and surgical skills assessment.  ...  - scopic left sided-colo- rectal resection video Automated live video assessment Winter Beaty et al  ... 
doi:10.1186/s12893-021-01123-4 pmid:33685437 fatcat:2czhyaal3jcp5csoksgzrlri7q
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