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:使用可解释的人工智能预测放疗副作用,用于患者沟通和治疗修改","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":"{\"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}","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}
PRE-ACT: Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification
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.