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In [Zhonghua yan ke za zhi] Chinese journal of ophthalmology ; h5-index 0.0

Medical artificial intelligence (AI) promotes technological revolution and industrial transformation in the medical field, and the medical level of orbital disease will also be improved with the in-depth development of AI diagnosis and treatment. The problems should be solved in the orbital disease AI research at the initial stage include: the complex knowledge system of orbital disease requires cross-disciplinary knowledge to improve the level of diagnosis and treatment; the early diagnosis and treatment of orbital disease is absent, and effective technical methods are needed to crack the screening dilemma; the operation of the disease is difficult, and special mechanical devices are needed to break through the boundaries of surgical technique; the medical team of orbital disease is scarce, and it is necessary to share the medical resources effectively. In order to solve the problems mentioned above, the following research directions of orbital disease AI diagnosis and treatment should be included: the orbital disease AI diagnosis system, the orbital disease AI screening platform, the orbital surgery robot and the orbital disease telemedicine. Through the development of multidisciplinary diagnosis and treatment, the in-depth exploration of interdisciplinary basic research, the extensive implementation of clinical research, and the extensive integration of industry and academic communication, the AI diagnosis and treatment of orbital disease is approaching a new era. (Chin J Ophthalmol, 2019, 55: 801-805).

Fan X Q, Song X F


Artificial intelligence, Interdisciplinary research, Orbital diseases, Robotic surgical procedures, Telemedicine