Help identify dental diseases, and broaden the boundaries of artificial intelligence imaging diagnosis
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Although the current application of artificial intelligence in medical care is still in its infancy, the potential of artificial intelligence in medical care cannot be ignored. Among them, image recognition, as a subdivision of auxiliary diagnosis, applies artificial intelligence technology to medical image diagnosis, which is the most widely used scene of artificial intelligence in the medical field .
The first outbreak and application of artificial intelligence in medical imaging is mainly due to the relative ease of acquisition and processing of image data. Compared with medical records and other data accumulation spanning three to five years or even longer, image data can be obtained in just a few seconds after a single shot. Direct basis for the program.
The huge and relatively standard data base of medical images and the continuous progress of algorithms such as intelligent image recognition have provided a solid foundation for the application of artificial intelligence medical care in this field. From the perspective of the landing direction, at present, the layout direction of Al medical imaging products is mainly concentrated in several major parts such as the chest, head, pelvis, limbs and joints, focusing on disease screening in the field of tumors and chronic diseases.
However, recently, dental AI company Diagnocat announced that an artificial intelligence software developed by it for dental professionals has been approved in Canada. The software can identify more than 30 common dental diseases through X-ray and Cone Beam Computed Tomography (CBCT), including caries, calculus, periapical lesions, etc., as well as some rare dental diseases . This has broadened the field of AI medical impact products a big step.
Alex Sanders, founder and CEO of Diagnocat, also a prosthodontist, said, "Diagnocat's goal is to make dental diagnosis as close to error-free as possible, and 3D digital dentistry is becoming a huge part of today's dental industry. With just a few seconds of clicking the Diagnocat button, dental professionals can perform diagnostic work easily, quickly and efficiently.”
Doug Gillespie, Diagnocat's North American manager, said: "Dental schools train students a lot in recognizing FMX and Pan images, however, it is much more difficult for dentists to understand and evaluate CBCT images. Converting Dicom files to and The process of splitting into STL files is also a process of gaining experience for treatment planning of 3D digital cases for implant and orthodontics. Diagnocat makes this process simple and efficient.”
Diagnocat's AI software is currently in use in radiology, dental labs and universities in Europe, Israel, Italy, Mexico, and Canada will be the next region to be deployed.
Undoubtedly, as a new generation of infrastructure construction, the application of artificial intelligence in the medical industry will bring changes to the operation mode of traditional medical institutions, and effectively relieve the pressure on medical resources in the long run. In the post-epidemic era, AI+ medical treatment is expected to usher in great development, and clinical radiological diagnosis practice is undoubtedly one of the important applications.