Sanni Pöysä, Eija Pakarinen, Marja-Kristiina Lerkkanen
Profiles of Work Engagement and Work-Related Effort and Reward Among Teachers: Associations to Occupational Well-Being and Leader-Follower Relationship During the COVID-19 Pandemic
Frontiers in psychology
preoperative prudent patient selection plays crucial role knee osteoarthritis management faces challenges appropriate referrals total knee arthroplasty tka unicompartmental knee arthroplasty uka nonoperative intervention deep learning dl techniques build prediction models treatment decisionmaking aim develop evaluate knee arthroplasty prediction pipeline using threeview xrays determine suitable candidates tka uka arthroplasty candidates study conducted using threeview anteriorposterior lateral patellar xrays surgical data patients undergoing tka uka nonarthroplasty interventions sites b data site used derive validate models data site b used external test set dl pipeline combining yolov3 resnet18 confident learning cl developed multiview convolutional neural network efficientnetb4 resnet101 proposed model without cl also trained tested models evaluated using metrics area receiver operating characteristic curve auc accuracy precision specificity sensitivity f1 score data set comprised total 1779 knees 1645 knees site derivation set internal validation cohort external validation cohort consisted 134 knees internal validation cohort demonstrated superior performance proposed model augmented cl achieving auc 094 accuracy 859 external validation confirmed models generalisation auc 093 accuracy 821 comparative analysis neural network models showed proposed models superiority proposed dl pipeline integrating yolov3 resnet18 cl provides accurate predictions knee arthroplasty candidates based threeview xrays prediction model could useful performing decision making type arthroplasty procedure automated fashion level iii diagnostic study