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dc.creatorGidde, Sai Teja Reddy
dc.creatorHutapea, Parsaoran
dc.date.accessioned2022-12-07T16:21:03Z
dc.date.available2022-12-07T16:21:03Z
dc.date.issued2019-10-16
dc.identifier.citationGidde, S. T. R., & Hutapea, P. (2019, October 16-19). Prediction of Insertion Force of Bioinspired Needles using Machine Learning Algorithm [Conference presentation abstract]. 2019 Biomedical Engineering Society (BMES) Annual Meeting, Philadephia, PA.
dc.identifier.urihttp://hdl.handle.net/20.500.12613/8182
dc.descriptionPresented at the 2019 Biomedical Engineering Society (BMES) Annual Meeting, which took place October 16-19, 2019, in Philadelphia, PA.
dc.description.abstractSimulation of surgical procedures provides a safe and potentially effective method for surgical training and robot-assisted surgery for pre- and intra-operative planning. Accurate modeling of the mechanical behavior of the interface of surgical needles and organs has been well recognized as a major challenge in the development of reliable surgical simulators. Prediction of needle insertion forces especially has been recognized as a major challenge during needle-tissue interactions. In this study, a machine-learning algorithm is proposed to estimate the insertion forces of bioinspired needles.
dc.format.extent1 page
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofFaculty/ Researcher Works
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/zero/1.0/
dc.subjectSurgical technology
dc.subjectMachine learning
dc.titlePrediction of Insertion Force of Bioinspired Needles using Machine Learning Algorithm
dc.typeText
dc.type.genreConference paper
dc.description.departmentMechanical Engineering
dc.relation.doihttp://dx.doi.org/10.34944/dspace/8153
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Engineering
dc.creator.orcidGidde|0000-0003-3153-3902
dc.creator.orcidHutapea|0000-0001-6917-1252
dc.temple.creatorGidde, Sai Teja Reddy
dc.temple.creatorHutapea, Parsaoran
refterms.dateFOA2022-12-07T16:21:03Z


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