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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorOosterlee, C.W.
dc.contributor.authorVichansky, David
dc.date.accessioned2023-06-10T00:00:51Z
dc.date.available2023-06-10T00:00:51Z
dc.date.issued2023
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/43983
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThis thesis project concerns the mathematical analysis of surgical data. In total knee arthoplasty surgery a robotic-arm assisted surgery system is used to guide the surgeon during the procedure. The use of smart instruments in an operating theatre is still akin to black box thinking. A multifaceted and multidisciplined approach is therefore necessary for a more proactive approach within healthcare. To meet this aim we examine smart tools that can support surgeons with their decision making.
dc.titleGuidance in Using Robotic-Arm Assisted Surgical System for Knee Arthroplasty - Supportive Surgical Tools with Data Science
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuMathematical Sciences
dc.thesis.id17304


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