Medical imaging is important in the clinical diagnosis and individualized treatment of eye diseases. Ultrasound imaging is one of the most prominent technologies to evaluate the orientations, anomalies, and anatomical features of the eye and orbit. However, the interpretation of the data obtained from such studies is best left to expert physicians and technicians who are trained and well-versed in analyzing such images. This technology can provide high-resolution information regarding anatomic and functional changes. In recent years, imaging techniques have developed rapidly, together with therapeutic advances. However, with the increasing sophistication of imaging technology, the comprehension and management of eye disease has become more complex due to the large numbers of images and findings that can be recorded for individual patients, as well as the hypotheses supported by these data. Thus, each patient has become a “big data” challenge. Conventional diagnostic methods greatly depend on physicians’ professional experience and knowledge, which can lead to a high rate of misdiagnosis and wastage of medical data (Oikarinen et al., Int J Oral Maxillofac Surg 22(2):119–124, 1993). The new era of clinical diagnostics and therapeutics urgently requires intelligent tools to manage medical data safely and efficiently.