首页|Second Xiangya Hospital of Central South University Reports Findings in Machine Learning (Machine Learning and Optical-Coherence-Tomography-Derived Radiomics An alysis to Predict the Postoperative Anatomical Outcome of Full-Thickness Macular Hole)
Second Xiangya Hospital of Central South University Reports Findings in Machine Learning (Machine Learning and Optical-Coherence-Tomography-Derived Radiomics An alysis to Predict the Postoperative Anatomical Outcome of Full-Thickness Macular Hole)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Changsha, People's Rep ublic of China, by NewsRx editors, research stated, "Full-thickness macular hole (FTMH) leads to central vision loss. It is essential to identify patients with FTMH at high risk of postoperative failure accurately to achieve anatomical clos ure." Our news journalists obtained a quote from the research from the Second Xiangya Hospital of Central South University, "This study aimed to construct a predictiv e model for the anatomical outcome of FTMH after surgery. A retrospective study was performed, analyzing 200 eyes from 197 patients diagnosed with FTMH. Radiomi cs features were extracted from optical coherence tomography (OCT) images. Logis tic regression, support vector machine (SVM), and backpropagation neural network (BPNN) classifiers were trained and evaluated. Decision curve analysis and surv ival analysis were performed to assess the clinical implications. Sensitivity, s pecificity, F1 score, and area under the receiver operating characteristic curve (AUC) were calculated to assess the model effectiveness. In the training set, t he AUC values were 0.998, 0.988, and 0.995, respectively. In the test set, the A UC values were 0.941, 0.943, and 0.968, respectively. The OCT-omics scores were significantly higher in the ‘Open' group than in the ‘Closed' group and were pos itively correlated with the minimum diameter (MIN) and base diameter (BASE) of F TMH."
ChangshaPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesImaging TechnologyMachine LearningOptica l Coherence TomographyTechnology
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