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Regular eye examinations are crucial for the treatment of glaucoma and the monitoring of various eye diseases. In order to reduce the cost of ophthalmic care, it is desirable to perform those eye examinations by the patient himself/herself at the convenience of his/her home. The aim of this project is to develop a device that allows patients to perform the most important eye examinations themselves (visual acuity, slit lamp investigation of the cornea, intraocular pressure measurement, fundus examination). The project is divided into two areas, first, the design of a hand-held device that integrates the different instruments necessary for a complete eye examination, and second, the development of software that can interpret the acquired measurements and image data without the need for a medical professional to be present. To achieve this, methods of artificial intelligence, machine learning, and neural networks are needed. If necessary, the machine results can be transmitted to an ophthalmologist for additional review and further diagnosis. The measurement of intraocular pressure and other eye data by the patient himself/herself and the computer-assisted evaluation of these results will change the way ophthalmic care is provided and will lead to great progress in ophthalmology.
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