Tiwari Anushree, Ghosh Anirbhan, Agrawal Pankaj Kumar, Reddy Arjun, Singla Deepika, Mehta Dhaval Niranjan, Girdhar Gaurav, Paiwal Kapil
Clinical Quality and Value, American Academy of Orthopaedic Surgeons, Rosemont, USA.
Department of Orthodontics and Dentofacial Orthopedics, Bhabha College of Dental Sciences, Bhopal, M.P., India.
Bioinformation. 2023 Dec 31;19(13):1329-1335. doi: 10.6026/973206300191329. eCollection 2023.
A sizable percentage of the population in India still does not have easy access to dental facilities. Therefore, it is of interest to document the role of artificial intelligence (AI) in oral surveillance of underserved communities. Available data shows that AI makes it possible to screen, diagnose, track, prioritize, and monitor dental patients remotely via smart devices. As a result, dentists won't have to deal with simple situations that only require standard treatments; freeing them up to focus on more complicated cases. Additionally, this would allow dentists to reach a broader, more underprivileged population in difficult-to-reach places. AI fracture recognition and categorization performance has shown promise in preliminary testing. Methods for detecting aberrations are frequently employed in public health practise and research continues to be focused on them.
印度仍有相当大比例的人口难以获得牙科设施。因此，记录人工智能（AI）在服务不足社区的口腔监测中的作用很有意义。现有数据表明，人工智能能够通过智能设备对牙科患者进行远程筛查、诊断、跟踪、排序和监测。这样一来，牙医就无需处理仅需标准治疗的简单情况；从而使他们能够腾出精力专注于更复杂的病例。此外，这将使牙医能够接触到地处偏远、更为贫困的广大人群。人工智能骨折识别和分类性能在初步测试中已显示出前景。检测像差的方法在公共卫生实践中经常使用，并且研究仍集中在这些方法上。
