MP50-01 ARTIFICIAL INTELLIGENCE SUPPORTING CANCER PATIENTS ACROSS EUROPE- THE ASCAPE PROJECT

Abstract

You have accessJournal of UrologyProstate Cancer: Localized: Surgical Therapy III (MP50)1 Sep 2021MP50-01 ARTIFICIAL INTELLIGENCE SUPPORTING CANCER PATIENTS ACROSS EUROPE- THE ASCAPE PROJECT Lazaros Tzelves, Ioannis Varkarakis, Athanasios Anastasiou, Andreas Skolarikos, Ioannis Manolitsis, Antonios Valachis, Serge Autexier, Lucian Itu, Mirjana Ivanović, Thanos Kosmidis, Konstantinos Perakis, Johannes Rust, and Paris Kosmidis Lazaros TzelvesLazaros Tzelves More articles by this author , Ioannis VarkarakisIoannis Varkarakis More articles by this author , Athanasios AnastasiouAthanasios Anastasiou More articles by this author , Andreas SkolarikosAndreas Skolarikos More articles by this author , Ioannis ManolitsisIoannis Manolitsis More articles by this author , Antonios ValachisAntonios Valachis More articles by this author , Serge AutexierSerge Autexier More articles by this author , Lucian ItuLucian Itu More articles by this author , Mirjana IvanovićMirjana Ivanović More articles by this author , Thanos KosmidisThanos Kosmidis More articles by this author , Konstantinos PerakisKonstantinos Perakis More articles by this author , Johannes RustJohannes Rust More articles by this author , and Paris KosmidisParis Kosmidis More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002076.01AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Prostate cancer (PCa) is one of the most common neoplasms in Europe, with annual incidence of 336.000. PCa patients frequently encounter health-related quality of life (QOL) issues commonly underestimated.Artificial Intelligence (AI) is used in several healthcare domains, offering the advantage of continuous training on large datasets. The aim of ASCAPE Project is to leverage the advances in Big Data and AI, to support patients with PCa, regarding QOL issues. METHODS: ASCAPE is a collaborative project with 15 partners (Greece, United Kingdom, Sweden, Spain, Germany, Serbia, Romania), taking place in 3 phases. In phase 1, large retrospective datasets will be analyzed to train AI-based models for QOL issues (fatigue, depression, anxiety, incontinence-erectile dysfunction after surgery, hot flushes). During phase 2, a prospective study will be performed, including data collection from validated questionnaires and wearable data for active monitoring of physical activity, sleep pattern and heart rate. Both retrospective and prospective data will be incorporated in an ASCAPE-integrated prototype, which will permit personalized, AI-based predictions and intervention suggestion. In phase 3, evaluation of ASCAPE from patient and physician perspective will be performed, using specific key performance indicators. Eligible patients will have biopsy proven PCa of any stage, who undergo surgery or radiation therapy, with or without hormonal therapy and will be able to use smartwatches to collect data. All patients will participate after signing an informed consent. Follow-up duration will be 12 months after surgery or initiation of radiation therapy, while questionnaires (EORTC-QLQ C30, EORTC- QLQ PR25, Hospital Anxiety and Depression Scale questionnaire, International Index of Erectile Function questionnaire) will be completed every 3 months. Three centers (UK, Sweden, Greece) will recruit patients, while estimated number is 300 patients. RESULTS: Figure CONCLUSIONS: The aim of ASCAPE is to improve QOL of patients with PCa, using AI to detect QOL issues earlier and suggest interventions, based on already successful treatments in patients with similar experiences. Continuous learning and improvement of AI algorithms, makes this project very promising for the field of QOL in PCa. Source of Funding: European Union Horizon 2020 © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e885-e885 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Lazaros Tzelves More articles by this author Ioannis Varkarakis More articles by this author Athanasios Anastasiou More articles by this author Andreas Skolarikos More articles by this author Ioannis Manolitsis More articles by this author Antonios Valachis More articles by this author Serge Autexier More articles by this author Lucian Itu More articles by this author Mirjana Ivanović More articles by this author Thanos Kosmidis More articles by this author Konstantinos Perakis More articles by this author Johannes Rust More articles by this author Paris Kosmidis More articles by this author Expand All Advertisement PDF downloadLoading ...

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