Study Results
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View full resultsBasic Information
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COMPLETED
NA
19 participants
INTERVENTIONAL
2021-09-01
2022-02-28
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
OTHER
SINGLE
Study Groups
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Experienced robotic cardiac surgeons
Wet lab tasks
Robotic-assisted internal thoracic artery harvesting, mitral annulus sutures placement and atrial closure in porcine model
Cardiac surgeons with limited robotic experience
Wet lab tasks
Robotic-assisted internal thoracic artery harvesting, mitral annulus sutures placement and atrial closure in porcine model
Non-cardiac surgeons with limited robotic experience
Wet lab tasks
Robotic-assisted internal thoracic artery harvesting, mitral annulus sutures placement and atrial closure in porcine model
Interventions
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Wet lab tasks
Robotic-assisted internal thoracic artery harvesting, mitral annulus sutures placement and atrial closure in porcine model
Eligibility Criteria
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Inclusion Criteria
* Cardiac surgeons with limited robotic experience (robotic novices): on-going or completed cardio-thoracic residency
* Non-cardiac surgeons with limited robotic experience (robotic novices): on-going or completed surgical specialty residency (general surgery, urology, gynaecology, ENT surgery)
Exclusion Criteria
ALL
Yes
Sponsors
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Aalborg University Hospital
OTHER
Responsible Party
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Gennady Atroshchenko
Principal Investigator
Principal Investigators
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Gennady V Atroshchenko, MD
Role: PRINCIPAL_INVESTIGATOR
Aalborg University Hospital
Locations
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Aalborg University Hospital
Aalborg, , Denmark
Countries
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References
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Atroshchenko GV, Korup LR, Hashemi N, Ostergaard LR, Tolsgaard MG, Rasmussen S. Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study. J Robot Surg. 2025 Jul 13;19(1):384. doi: 10.1007/s11701-025-02563-3.
Atroshchenko GV, Navarra E, Valdis M, Sandoval E, Hashemi N, Cerny S, Pereda D, Palmen M, Bjerrum F, Bruun NH, Tolsgaard MG. Simulation-based assessment of robotic cardiac surgery skills: An international multicenter, cross-specialty trial. JTCVS Open. 2023 Nov 2;16:619-627. doi: 10.1016/j.xjon.2023.10.029. eCollection 2023 Dec.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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2020-000992-55
Identifier Type: -
Identifier Source: org_study_id
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