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Accessible artificial intelligence for ophthalmologists

Eye volume 36, page 683 (2022)Cite this article

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Artificial intelligence (AI) is starting to be widely leveraged for ophthalmic classification tasks [1,2,3]. One of the primary goals of such technology is to aid ophthalmologists and optometrists in the more accurate and timely management of disease. Thus, research mainly targets the development of AI systems to target image intensive clinical data such as optical coherence tomography (OCT) classification to fundoscopy image recognition and segmentation. While these studies have proven high levels of accuracy and the ability to be potentially clinically beneficial, we feel as though more work should be focused on the accessibility of such technologies for the clinician. The vast majority of work solely focuses on the development of novel AI solutions but disregard the integration at the point-of-care, and how it may augment or benefit clinical workflows.

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References

  1. Yoo TK, Ryu IH, Kim JK, Lee IS. Deep learning for predicting uncorrected refractive error using posterior segment optical coherence tomography images. Eye (2021). https://doi.org/10.1038/s41433-021-01795-5

  2. Li F, Wang Y, Xu T, Dong L, Yan L, Jiang M, et al. Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs. Eye (2021). https://doi.org/10.1038/s41433-021-01552-8

  3. Li Z, Guo C, Nie D, Lin D, Cui T, Zhu Y, et al. Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning. Eye. 2021. https://doi.org/10.1038/s41433-021-01715-7

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  4. Rao A, Fishman HA. OCTAI: Smartphone-based Optical Coherence Tomography Image Analysis System. In 2021 IEEE World AI IoT Congress (AIIoT) 2021 May 10 (pp. 0072-0076). IEEE. https://doi.org/10.1109/AIIoT52608.2021.9454200

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Authors and Affiliations

  1. Palo Alto High School, Palo Alto, CA, USA

    Adrit Rao

  2. Fishman Vision, Palo Alto, CA, USA

    Harvey Fishman

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  1. Adrit Rao
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  2. Harvey Fishman
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AR wrote the main body of the text regarding technology and HF added clinical information.

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Correspondence to Adrit Rao.

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Rao, A., Fishman, H. Accessible artificial intelligence for ophthalmologists. Eye 36, 683 (2022). https://doi.org/10.1038/s41433-021-01891-6

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  • DOI: https://doi.org/10.1038/s41433-021-01891-6

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