Editorial for “A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Prediction of KRAS Mutation in Rectal Cancer”

Journal of Magnetic Resonance ImagingEarly View Editorial Editorial for “A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Prediction of KRAS Mutation in Rectal Cancer” Maria Clara Fernandes MD, Maria Clara Fernandes MD Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USASearch for more papers by this authorNatally Horvat MD, PhD, Corresponding Author Natally Horvat MD, PhD horvatn@mskcc.org orcid.org/0000-0001-8849-5789 Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA Address reprint requests to: N. Horvat, 1275 York Ave, New York, NY 10065, USA. E-mail: horvatn@mskcc.orgSearch for more papers by this author Maria Clara Fernandes MD, Maria Clara Fernandes MD Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USASearch for more papers by this authorNatally Horvat MD, PhD, Corresponding Author Natally Horvat MD, PhD horvatn@mskcc.org orcid.org/0000-0001-8849-5789 Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, USA Address reprint requests to: N. Horvat, 1275 York Ave, New York, NY 10065, USA. E-mail: horvatn@mskcc.orgSearch for more papers by this author First published: 16 May 2022 https://doi.org/10.1002/jmri.28233 Level of Evidence:: 5 Technical Efficacy:: Stage 2 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation