Yuqin Liang , Paolo Bajardi , Guido Bologna , Francesco Bonchi , Gabriella Cortellessa , Andre Dekker , Francesca Fracasso , Manuela Joore , Nikos Paragios , Tim Rattay , Sofia Rivera , Cheryl Roumen , Johan van Soest , Alberto Traverso , Karolien Verhoeven , Iordanis Koutsopoulos , Christopher J. Talbot , PRE-ACT study consortium
{"title":"PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification","authors":"Yuqin Liang , Paolo Bajardi , Guido Bologna , Francesco Bonchi , Gabriella Cortellessa , Andre Dekker , Francesca Fracasso , Manuela Joore , Nikos Paragios , Tim Rattay , Sofia Rivera , Cheryl Roumen , Johan van Soest , Alberto Traverso , Karolien Verhoeven , Iordanis Koutsopoulos , Christopher J. Talbot , PRE-ACT study consortium","doi":"10.1016/j.jcpo.2024.100537","DOIUrl":null,"url":null,"abstract":"<div><div>PRE-ACT leverages Artificial Intelligence (AI) to predict radiotherapy side effects in breast cancer patients, integrating complex imaging and genomics data. This Horizon Europe project aims to enhance shared decision-making by providing explainable predictions and tailored interventions, advancing personalised radiotherapy and improving patient outcomes.</div></div>","PeriodicalId":38212,"journal":{"name":"Journal of Cancer Policy","volume":"43 ","pages":"Article 100537"},"PeriodicalIF":2.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cancer Policy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213538324000717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
PRE-ACT leverages Artificial Intelligence (AI) to predict radiotherapy side effects in breast cancer patients, integrating complex imaging and genomics data. This Horizon Europe project aims to enhance shared decision-making by providing explainable predictions and tailored interventions, advancing personalised radiotherapy and improving patient outcomes.
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