Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/2233
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMurphy, Declan-
dc.contributor.authorLawrentschuk, Nathan-
dc.contributor.otherO'Brien, Jonathan-
dc.contributor.otherNandakishor, Kishor-
dc.contributor.otherChen, Kenneth-
dc.contributor.otherTeh, Jiasian-
dc.contributor.otherKelly, Brian-
dc.contributor.otherManning, Todd-
dc.contributor.otherSathianathen, Niranjan-
dc.contributor.otherChee, Justin-
dc.contributor.otherPalaniswami, Marimuthu-
dc.date.accessioned2023-10-03T02:43:15Z-
dc.date.available2023-10-03T02:43:15Z-
dc.date.issued2023-10-
dc.identifier.urihttp://hdl.handle.net/11434/2233-
dc.description.abstractPenile squamous cell carcinoma (PSCC) is a rare disease with devastating psychosocial consequences. Early recognition and treatment are paramount to preserving function and long-term survival. However, many men present with advanced disease due to a lack of awareness, social stigma, and limited access to culturally appropriate care. There is an urgent need to reduce barriers to subspecialist penile cancer care, especially for men from low socioeconomic backgrounds. Machine learning combined with smartphone photography has demonstrated growing utility by outperforming clinicians in diagnosing skin cancer. This project aims to evaluate the accuracy of an artificial intelligence algorithm for stratifying penile lesions.en_US
dc.subjectPenile Squamous Cell Carcinomaen_US
dc.subjectPSCCen_US
dc.subjectPsychosocial Consequencesen_US
dc.subjectSocial Stigmaen_US
dc.subjectCulturally Appropriate Careen_US
dc.subjectMachine Learningen_US
dc.subjectSmartphone Photographyen_US
dc.subjectArtificial Intelligence Algorithmen_US
dc.titleMechanised triage: A pilot study investigating the role of machine learning to triage penile lesions.en_US
dc.typeConference Posteren_US
dc.description.affiliatesSir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australiaen_US
dc.description.affiliatesDeartment of Urology, The Royal Melbourne Hospital, Melbourne, Victoria Australiaen_US
dc.description.affiliatesDivision of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australiaen_US
dc.description.affiliatesDepartment of Electrical and Electronic Engineering, The University of Melbourne, Parkville, Victoria, Australiaen_US
dc.type.studyortrialPilot Studyen_US
dc.description.conferencenameEpworth HealthCare Research Month 2023en_US
dc.description.conferencelocationEpworth Research Institute, Victoria, Australiaen_US
dc.type.contenttypeTexten_US
Appears in Collections:Research Month

Files in This Item:
File Description SizeFormat  
AUA 2023 Poster_Jonathan OBrien.pdf1.04 MBAdobe PDFThumbnail
View/Open


Items in Epworth are protected by copyright, with all rights reserved, unless otherwise indicated.