Riccardo DE ROBERTIS, Flavio SPOTO, Francesca PASQUAZZO, Mirko D’ONOFRIO
{"title":"Clinical applications of radiomics and artificial intelligence: prognostic stratification and response to treatment","authors":"Riccardo DE ROBERTIS, Flavio SPOTO, Francesca PASQUAZZO, Mirko D’ONOFRIO","doi":"10.23736/s2723-9284.23.00245-9","DOIUrl":null,"url":null,"abstract":"The evaluation of treatment response and the noninvasive prognostic stratification of cancer patients are the most interesting and ambitious applications of radiomics and artificial intelligence, with potentially relevant clinical implications. Several studies reported promising results at this regard, even though their scientific quality is low and large-scale validation of the results is necessary. The purpose of this paper was to review systematic reviews and meta-analyses regarding the use of radiomics and artificial intelligence for prognostic stratification and evaluation of treatment response in cancer patients.","PeriodicalId":369070,"journal":{"name":"Journal of Radiological Review","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radiological Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23736/s2723-9284.23.00245-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
The evaluation of treatment response and the noninvasive prognostic stratification of cancer patients are the most interesting and ambitious applications of radiomics and artificial intelligence, with potentially relevant clinical implications. Several studies reported promising results at this regard, even though their scientific quality is low and large-scale validation of the results is necessary. The purpose of this paper was to review systematic reviews and meta-analyses regarding the use of radiomics and artificial intelligence for prognostic stratification and evaluation of treatment response in cancer patients.
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