Telemedizin und künstliche Intelligenz im Zusammenhang mit Augenscreening

Abstract

Purpose. This paper aims to evaluate whether telemedical models or examination and prevention models based on artificial intelligence offer German optometrists a chance to increase their status as vision care providers and to provide better eye care in Germany. Material and Methods. Both a systematic literature review and an expert survey were conducted. Study results of deep learning vision screening applications in the fields of glauco- ma, age-related macular degeneration, and diabetic retino- pathy as well results of expert interviews are discussed. Results. The study results and expert interviews demonstrate that cooperation between optometrists and ophthalmologists in a telemedical network is an essential tool for improving the eye health care of the population and relieves ophthalmo- logists of routine tasks. The first telemedical cooperative pro- gram between German optometrists and ophthalmologists demonstrates a successful cooperation. Conclusion. Artificial intelligence (AI) is increasingly finding its way into the field of vision screening. Telemedicine and the electronic patient medical record play a unique role. They en- able German optometrists to secure and expand high-quality service offerings in the field of optometry. Keywords telemedicine, artificial intelligence, vision screening, age- related macular degeneration diabetic retinopathy