3D modelling for realistic training and learning
dc.authorscopusid | 6504277656 | |
dc.contributor.author | Bati, Ayse Hilal | |
dc.date.accessioned | 2023-01-12T20:10:58Z | |
dc.date.available | 2023-01-12T20:10:58Z | |
dc.date.issued | 2022 | |
dc.department | N/A/Department | en_US |
dc.description.abstract | Objectives Three-dimensional (3D) reconstruction and modelling techniques based on computer vision have shown significant progress in recent years. Patient-specific models, which are derived from the imaging data set and are anatomically consistent with each other, are important for the development of knowledge and skills. The purpose of this article is to share information about three-dimensional (3D) reconstruction and modelling techniques and its importance in medical education. Methods As 3D printing technology develops and costs are lower, adaptation to the original model will increase, thus making models suitable for the anatomical structure and texture. 3D printing has emerged as an innovative way to help surgeons implement more complex procedures. Results Recent studies have shown that 3D modelling is a powerful tool for pre-operative planning, proofing, and decision-making. 3D models have excellent potential for alternative interventions and surgical training on both normal and pathological anatomy. 3D printing is an attractive, powerful and versatile technology. Conclusions Patient-specific models can improve performance and improve learning faster, while improving the knowledge, management and confidence of trainees, whatever their area of expertise. Physical interaction with models has proven to be the key to gaining the necessary motor skills for surgical intervention. | en_US |
dc.identifier.doi | 10.1515/tjb-2019-0182 | |
dc.identifier.endpage | 181 | en_US |
dc.identifier.issn | 0250-4685 | |
dc.identifier.issn | 1303-829X | |
dc.identifier.issn | 0250-4685 | en_US |
dc.identifier.issn | 1303-829X | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.scopus | 2-s2.0-85134893355 | en_US |
dc.identifier.scopusquality | Q4 | en_US |
dc.identifier.startpage | 179 | en_US |
dc.identifier.uri | https://doi.org/10.1515/tjb-2019-0182 | |
dc.identifier.uri | https://hdl.handle.net/11454/77994 | |
dc.identifier.volume | 47 | en_US |
dc.identifier.wos | WOS:000818647200006 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Walter De Gruyter Gmbh | en_US |
dc.relation.ispartof | Turkish Journal Of Biochemistry-Turk Biyokimya Dergisi | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | 3D printing technology | en_US |
dc.subject | learning | en_US |
dc.subject | medical education | en_US |
dc.subject | surgical training | en_US |
dc.subject | Medical-Education | en_US |
dc.title | 3D modelling for realistic training and learning | en_US |
dc.type | Article | en_US |