Cloud-based three-dimensional pattern analysis and classification of proximal humeral fractures – A feasibility study
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Autor:innen
Gerber Popp, Ariane
Coigny, Florian
Suter, Thomas
Autor:in (Körperschaft)
Publikationsdatum
2022
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Proceedings of the 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
EPiC Series in Health Sciences
Reihennummer
Jahrgang / Band
5
Ausgabe / Nummer
Seiten / Dauer
25-30
Patentnummer
Verlag / Herausgebende Institution
EasyChair
Verlagsort / Veranstaltungsort
Stockport
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
For the complex clinical issue of treatment decision for proximal humeral fractures, dedicated software based on three-dimensional (3D) computer tomography (CT) models would potentially allow for a more accurate fracture classification and help to plan the surgical strategy needed to reduce the fracture in the operating theatre. The aim of this study was to elaborate the feasibility of implementation of such software using state-of-the-art cloud technology to enable access to its functionalities in a distributed manner. Feasibility was studied by implementation of a prototype application, which was tested in a usability study with five biomedical engineers. Implementation of a cloud-based solution was feasible using state-of-the-art technology under application of a specific software architectural approach allowing to distribute computational load between client and server. Mean System Usability Scale (SUS) Score for the developed application was determined to be 63 (StDev 20.4). These results can be interpreted as a medium low usability with high standard deviation of the measured SUS score. We conclude that more test subjects should be included in future studies and the developed application should be evaluated with a representative user group such as orthopaedic shoulder surgeons in a clinical setting.
Schlagwörter
Fachgebiet (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
Veranstaltung
21st Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
08.06.2022
Enddatum der Konferenz
11.06.2022
Datum der letzten Prüfung
ISBN
ISSN
2398-5305
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Diamond
Lizenz
Zitation
KALT, Denise, Ariane GERBER POPP, Markus DEGEN, Dominique BRODBECK, Florian COIGNY, Thomas SUTER und Erik SCHKOMMODAU, 2022. Cloud-based three-dimensional pattern analysis and classification of proximal humeral fractures – A feasibility study. In: Ferdinando RODRIGUEZ Y BAENA, Joshua W. GILES und Eric STINDEL (Hrsg.), Proceedings of the 20th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery. Stockport: EasyChair. 2022. S. 25–30. EPiC Series in Health Sciences. Verfügbar unter: https://doi.org/10.26041/fhnw-10358