Mobile App Diagnostic Disease of the Vision Organs
Abstract
The purpose of research is to substantiate the choice of developing a mobile solution for telemedicine technologies in ophthalmology. Creation of a mobile application for the recognition of photographs of images of the eyes of patients for diagnosing diseases of the retina of the organs of vision. The application is required for use with special equipment available in polyclinics fundus camera.
Methods. For a platform of mobile devices running the Android operating system, an application implementation containing a machine learning algorithm that diagnoses the presence of pathology of eye diseases.
Results. The article describes the results of the creation of a mobile application for telemedicine in ophthalmology, which collects, analyzes and processes digital information of eye diseases for diagnosis and diagnosis by an ophthalmologist. Description of the way devices interact and the technology of the client-server architecture of the model. The life cycle of the development of a pilot version of a software product is presented, future development prospects are indicated. This paper proposes the concept of a mobile tele-ophthalmology information system for deep learning-based image recognition. On the basis of the proposed concept, a mobile solution has been designed, implemented and tested, which improves the quality of medical service. The use of a mobile application for the primary examination by an ophthalmologist of patients and the diagnosis of visual impairment can increase productivity and efficiency of work, reduce the economic costs of providing services to the population. The doctor will get access to the necessary information as quickly as possible to make a decision on the patient's treatment, spend less time filling out outpatient cards and medical records, spending more time directly working with the patient.
Conclusion. As a result, the likelihood of medical errors will be minimized. As a result, the quality of medical services for the population will improve.
About the Author
E. R. Dobrov
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Eldar R. Dobrov, Post-Graduate Student of the Department of Applied Informatics
52/1 Kamenskaya str., Novosibirsk 630099
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Review
For citations:
Dobrov E.R. Mobile App Diagnostic Disease of the Vision Organs. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2021;11(3):26-33. (In Russ.)
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