Improved algorithm of AR glasses in the diagnosis of oral white lesions

The integration of Augmented Reality (AR) technology into oral medical diagnosis has the potential to revolutionize the field. AR glasses can help improve the preservation of the shape of patients’ oral mucosa and aid in the diagnostic process by providing additional data. Oral white lesions, such as oral leukoplakia and oral moss, are often difficult to distinguish due to their high similarity, leading to a higher risk of misdiagnosis. This challenge is compounded by the frequent head movements of dentists during oral examinations. To tackle these issues, this study suggests using AR glasses based on Mask-RCNN as an auxiliary diagnostic tool for the identification of oral white lesions. The algorithm has been developed by enhancing the Mask-RCNN network, which allows for the extraction of high-dimensional features from images of oral macular diseases. The proposed algorithm is capable of accurately detecting the specific location and precise area of related lesions, as well as identifying the types of lesions. The use of AR technology in oral medical diagnosis has the potential to improve the accuracy and efficiency of diagnosis, providing patients with better and more efficient medical care.