Southeast University Reports Findings in Maxillary Sinusitis (Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis)
Southeast University Reports Findings in Maxillary Sinusitis (Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Nose Diseases and Cond itions - Maxillary Sinusitis is the subject of a report. According to news origi nating from Nanjing, People's Republic of China, by NewsRx correspondents, resea rch stated, "To construct the deep learning convolution neural network (CNN) mod el and machine learning support vector machine (SVM) model of bone remodeling of chronic maxillary sinusitis (CMS) based on CT image data to improve the accurac y of image diagnosis. Maxillary sinus CT data of 1000 samples in 500 patients fr om January 2018 to December 2021 in our hospital was collected." Financial support for this research came from Zigang Che. Our news journalists obtained a quote from the research from Southeast Universit y, "The first part is the establishment and testing of chronic maxillary sinusit is detection model by 461 images. The second part is the establishment and testi ng of the detection model of chronic maxillary sinusitis with bone remodeling by 802 images. The sensitivity, specificity and accuracy and area under the curve (AUC) value of the test set were recorded, respectively. Preliminary application results of CT based AI in the diagnosis of chronic maxillary sinusitis and bone remodeling. The sensitivity, specificity and accuracy of the test set of 93 sam ples of CMS, were 0.9796, 0.8636 and 0.9247, respectively. Simultaneously, the v alue of AUC was 0.94. And the sensitivity, specificity and accuracy of the test set of 161 samples of CMS with bone remodeling were 0.7353, 0.9685 and 0.9193, r espectively. Simultaneously, the value of AUC was 0.89."
Key words
Nanjing/People's Republic of China/Asi a/Bone Research/Cyborgs/Diagnostics and Screening/Emerging Technologies/Hea lth and Medicine/Machine Learning/Maxillary Sinusitis/Nose Diseases and Condi tions/Otolaryngology/Otorhinolaryngologic Diseases and Conditions/Paranasal S inus Diseases and Conditions/Respiratory Tract Diseases and Conditions/Respira tory Tract Infections/Sinusitis
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