Reference number : GC-2017-Q4-01986, amendment number : , agreement type : G, recipient legal name : Zheng, Bin (University of Alberta), recipient country : CA, recipient province : nan, recipient city : Alberta, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : There are many signature features hidden in the performance video that can be used for unveiling the quality of_x000D_
the performance and furthering the expertise of healthcare performers. In Canada, approximately 1.5 million_x000D_
endoscopic procedures were performed each year on patients suffering from problems in their gastrointestinal_x000D_
(GI) system. Cases performed by incompetent persons can lead to complication at the cost of patients. Lesions_x000D_
inside the GI system may be overlooked by human performers under certain circumstances. Reviewing_x000D_
endoscopic videos can help us to find those missing lesions and further grade the quality of performance done_x000D_
by the healthcare providers. The challenge we face is that video-analysis is time-consuming. A fast video_x000D_
analysis algorithm developed by the ScopeMedia Inc. in Vancouver provides an opportunity for analysing a_x000D_
large volume of videos._x000D_
This proposed project has two objectives. First, we aim to investigate whether expert endoscopists display a_x000D_
certain type of movement behaviors distinguishing them from novice performers; if there are, what those_x000D_
behaviors are. Second, we like to see if this new video analysis algorithm can detect an abnormality/lesion_x000D_
inside the gastrointestinal track that had been skipped/ignored by the human performer. We will present the_x000D_
rationales and research methods to these two search objectives in the session below._x000D_
The innovative technology developed by the joint research team between ScopeMedia Inc. and the Surgical_x000D_
Simulation Research Lab at University of Alberta can enhance health service and patient safety., program purpose french : There are many signature features hidden in the performance video that can be used for unveiling the quality of_x000D_
the performance and furthering the expertise of healthcare performers. In Canada, approximately 1.5 million_x000D_
endoscopic procedures were performed each year on patients suffering from problems in their gastrointestinal_x000D_
(GI) system. Cases performed by incompetent persons can lead to complication at the cost of patients. Lesions_x000D_
inside the GI system may be overlooked by human performers under certain circumstances. Reviewing_x000D_
endoscopic videos can help us to find those missing lesions and further grade the quality of performance done_x000D_
by the healthcare providers. The challenge we face is that video-analysis is time-consuming. A fast video_x000D_
analysis algorithm developed by the ScopeMedia Inc. in Vancouver provides an opportunity for analysing a_x000D_
large volume of videos._x000D_
This proposed project has two objectives. First, we aim to investigate whether expert endoscopists display a_x000D_
certain type of movement behaviors distinguishing them from novice performers; if there are, what those_x000D_
behaviors are. Second, we like to see if this new video analysis algorithm can detect an abnormality/lesion_x000D_
inside the gastrointestinal track that had been skipped/ignored by the human performer. We will present the_x000D_
rationales and research methods to these two search objectives in the session below._x000D_
The innovative technology developed by the joint research team between ScopeMedia Inc. and the Surgical_x000D_
Simulation Research Lab at University of Alberta can enhance health service and patient safety., agreement title english : Unveiling the Hidden Features in Endoscopic Videos: Implications for Skill Training and Patient Safety, agreement title french : Unveiling the Hidden Features in Endoscopic Videos: Implications for Skill Training and Patient Safety, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-22, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada