{"id":25288,"date":"2026-03-12T20:30:51","date_gmt":"2026-03-12T20:30:51","guid":{"rendered":"https:\/\/hlrnet.com\/sites\/gzorg\/?p=25288"},"modified":"2026-03-12T20:30:51","modified_gmt":"2026-03-12T20:30:51","slug":"a-telemedicine-app-for-nonrigid-facial-rehabilitation-training-enhanced-by-efficient-fully-convolutional-neural-network-with-residual-network-effifcnn-resnet-to-improve-accessibility-for-patients-wi","status":"publish","type":"post","link":"https:\/\/hlrnet.com\/sites\/gzorg\/a-telemedicine-app-for-nonrigid-facial-rehabilitation-training-enhanced-by-efficient-fully-convolutional-neural-network-with-residual-network-effifcnn-resnet-to-improve-accessibility-for-patients-wi\/","title":{"rendered":"A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial"},"content":{"rendered":"<p>Wu T, Han T, Zhang X, Dai Y, Meng X<br \/>\nA Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial<br \/>\nJMIR Mhealth Uhealth 2026;14:e72560<br \/>\nURL: <a href=\"https:\/\/mhealth.jmir.org\/2026\/1\/e72560\" class=\"autohyperlink\">mhealth.jmir.org\/2026\/1\/e72560<\/a><br \/>\nDOI: 10.2196\/72560<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wu T, Han T, Zhang X, Dai Y, Meng X A Telemedicine App for Nonrigid Facial Rehabilitation Training Enhanced by Efficient Fully Convolutional Neural Network With Residual Network (EffiFCNN-ResNet) to Improve Accessibility for Patients With Nasopharyngeal Carcinoma Cancer: Randomized Controlled Trial JMIR Mhealth Uhealth 2026;14:e72560 URL: <a href=\"http:\/\/mhealth.jmir.org\/2026\/1\/e72560\" class=\"autohyperlink\">mhealth.jmir.org\/2026\/1\/e72560<\/a> DOI: 10.2196\/72560<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_wp_rev_ctl_limit":""},"categories":[39,1,65,56],"tags":[],"class_list":["post-25288","post","type-post","status-publish","format-standard","hentry","category-e-health","category-interessantnieuws","category-telegeneeskunde","category-wetenschappelijke-publicaties"],"publishpress_future_action":{"enabled":false,"date":"2026-04-30 17:54:58","action":"delete","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/posts\/25288","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/comments?post=25288"}],"version-history":[{"count":1,"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/posts\/25288\/revisions"}],"predecessor-version":[{"id":25289,"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/posts\/25288\/revisions\/25289"}],"wp:attachment":[{"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/media?parent=25288"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/categories?post=25288"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hlrnet.com\/sites\/gzorg\/wp-json\/wp\/v2\/tags?post=25288"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}