Uncorrected refractive errorsUncorrected refractive errors (URE) are a leading cause of visual impairment (VIVisual Impairment (VI)) and blindness. Big data acquisition and computer technology analysis are expanding quickly. By combining traditional techniques with artificial intelligence (AIArtificial Intelligence (AI)) based tools several studies have shown great potential in the detectionDetection, predictionPrediction, and risk stratificationRisk stratification of URE, especially myopiaMyopia. Continued improvement of imaging techniques and methods to measure refraction coupled with the application of new AIArtificial Intelligence (AI) algorithms may be the future of clinical practice and standard of care for the diagnosis and prognosis of refractive errors. This chapter reviews how AIArtificial Intelligence (AI) can be applied to the field of URE and discuss challenges to implementation into clinical practice and future directions.

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Artificial Intelligence in Refractive Errors

  • Carla Lanca,
  • Mohammad Hassan Emamian,
  • Andrzej Grzybowski

摘要

Uncorrected refractive errorsUncorrected refractive errors (URE) are a leading cause of visual impairment (VIVisual Impairment (VI)) and blindness. Big data acquisition and computer technology analysis are expanding quickly. By combining traditional techniques with artificial intelligence (AIArtificial Intelligence (AI)) based tools several studies have shown great potential in the detectionDetection, predictionPrediction, and risk stratificationRisk stratification of URE, especially myopiaMyopia. Continued improvement of imaging techniques and methods to measure refraction coupled with the application of new AIArtificial Intelligence (AI) algorithms may be the future of clinical practice and standard of care for the diagnosis and prognosis of refractive errors. This chapter reviews how AIArtificial Intelligence (AI) can be applied to the field of URE and discuss challenges to implementation into clinical practice and future directions.