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https://www.selleckchem.com/products/gdc-0032.html The area under the curve (AUC) of receiver operating curve (ROC) was used to evaluate the diagnostic ability of the algorithm for NBI images. Results The accuracy, sensitivity and specificity for NBI predictions were respectively 90.91% (AUC=0.96), 90.12% and 91.53%, which were equivalent to those for otolaryngologists' predictions (accuracy, sensitivity and specificity were (91.93±3.20)%, (91.33±3.25)% and (93.02±2.59)%, t values were 0.64, 0.75 and 1.17, and P values were 0.32, 0.28 and 0.21, respectively). The diagnostic efficiency of CNN was significantly higher than that of otolaryngologists (0.01 vs. 5.50, t =9.15, P less then 0.001). Conclusion AI based on deep CNN is effective for using in the laryngeal NBI image diagnosis, showing a good application prospect in the diagnosis of LSCC.Objective To confirm the impact of obstructive sleep apnea hypopnea syndrome (OSAHS) on perioperative and long-term outcome in patients with Stanford type A aortic dissection. Methods From June 2010 to July 2017, the clinical data of 91 patients with Stanford type A aortic dissection were analyzed. Among them, 51 patients with OSAHS were included in the study group and 40 patients without OSAHS were included in the control group. After 36 months follow-up, all-cause death was regarded as the end event. The clinical baseline data, perioperative period and 36 months survival rate of the two groups were compared. Kanplan-Meier method was used to describe the 36 month survival curve of the two groups. Cox proportional risk model was used to evaluate the risk ratio (HR) and 95%CI of 36 month survival rate. Results The mortality rate during hospitalization was 5.9% (3 cases) in the study group and 5.0% (2 cases) in the control group, and the difference was not statistically significant (χ~2=0.03, P>0.05). The actua0.009; HR=9.08, 95%CI 2.22-41.3, P=0.032). Conclusions There was no significant difference in mortality during hospitaliza

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