Yang Yu, Hui Jia, Fei Gao, Haifeng Zhu, Lei Zhang, Jie Wang
Spectral fusion-based machine learning classifiers for discriminating membrane breakage in multiple scenarios
Water research
study aimed 1 assess layperson preferences surgical information presented 2 evaluate format visual information relates layperson comfort undergoing surgery perceptions surgeon character traits beliefs artistic skill impacting plastic surgery practice 3 identify sociodemographic characteristics associated outcomes survey developed one five standardized sets information depicting unilateral cleft lip repair presented 1 text alone 2 quick sketches 3 simple drawings 4 detailed illustrations 5 photographs online crowdsourcing platform raters aged 18 years older united states none viewing surgical information participants answered three sets likert scale questions ratings averaged produce three composite scores assessing 1 comfort undergoing surgery 2 perceptions surgeon character traits 3 beliefs plastic surgery artistry four hundred seventynine participants included surgeon character traits score highest among participants viewed detailed illustrations 446 059 followed photographs 443 054 text alone 428 059 simple drawings 417 067 quick sketches 417 071 p 00014 participants viewed detailed illustrations rated surgical comfort score plastic surgery artistry score highest although differences achieve statistical significance viewing detailed cleft lip repair illustrations significantly associated positive perceptions surgeon character traits data help contextualize methods communication education valued public seeking cleft care