Artificial intelligence in diabetic retinopathy: A natural step to the future

doi:10.4103/ijo.IJO_1989_18

Review

. 2019 Jul;67(7):1004-1009.

doi: 10.4103/ijo.IJO_1989_18.

Artificial intelligence in diabetic retinopathy: A natural step to the future

Srikanta Kumar Padhy¹, Brijesh Takkar¹, Rohan Chawla¹, Atul Kumar¹

Affiliations

PMID: 31238395
PMCID: PMC6611318
DOI: 10.4103/ijo.IJO_1989_18

Review

Artificial intelligence in diabetic retinopathy: A natural step to the future

Srikanta Kumar Padhy et al. Indian J Ophthalmol. 2019 Jul.

. 2019 Jul;67(7):1004-1009.

doi: 10.4103/ijo.IJO_1989_18.

Authors

Srikanta Kumar Padhy¹, Brijesh Takkar¹, Rohan Chawla¹, Atul Kumar¹

Affiliation

¹ Dr Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India.

PMID: 31238395
PMCID: PMC6611318
DOI: 10.4103/ijo.IJO_1989_18

Abstract

Use of artificial intelligence in medicine in an evolving technology which holds promise for mass screening and perhaps may even help in establishing an accurate diagnosis. The ability of complex computing is to perform pattern recognition by creating complex relationships based on input data and then comparing it with performance standards is a big step. Diabetic retinopathy is an ever-increasing problem. Early screening and timely treatment of the same can reduce the burden of sight threatening retinopathy. Any tool which can aid in quick screening of this disorder and minimize requirement of trained human resource for the same would probably be a boon for patients and ophthalmologists. In this review we discuss the current status of use of artificial intelligence in diabetic retinopathy and few other common retinal disorders.

Keywords: Artificial intelligence; IDx-DR; fundus image; screening.

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Comment in

Commentary: Rise of machine learning and artificial intelligence in ophthalmology.
Akkara JD, Kuriakose A. Akkara JD, et al. Indian J Ophthalmol. 2019 Jul;67(7):1009-1010. doi: 10.4103/ijo.IJO_622_19. Indian J Ophthalmol. 2019. PMID: 31238396 Free PMC article. No abstract available.
Commentary: AI for an eye leaves the whole world….
Mohan A, Gandhi R. Mohan A, et al. Indian J Ophthalmol. 2019 Jul;67(7):1011. doi: 10.4103/ijo.IJO_624_19. Indian J Ophthalmol. 2019. PMID: 31238397 Free PMC article. No abstract available.

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References

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[1] Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69S:S36–40. - PubMed

[2] Hamet P, Tremblay J. Artificial intelligence in medicine. Metabolism. 2017;69S:S36–40. - PubMed

[3] Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: Past, present and future. Stroke Vasc Neurol. 2017;2(2):230–43. - PMC - PubMed

[4] Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: Past, present and future. Stroke Vasc Neurol. 2017;2(2):230–43. - PMC - PubMed

[5] Doi K. Computer-aided diagnosis in medical imaging historical review, current status and future potential. Comput Med Imaging Graph. 2007;31:198–211. - PMC - PubMed

[6] Doi K. Computer-aided diagnosis in medical imaging historical review, current status and future potential. Comput Med Imaging Graph. 2007;31:198–211. - PMC - PubMed

[7] Doi K. Diagnostic imaging over the last 50 years research and development in medical imaging science and technology. Phys Med Biol. 2006;51:R5–27. - PubMed

[8] Doi K. Diagnostic imaging over the last 50 years research and development in medical imaging science and technology. Phys Med Biol. 2006;51:R5–27. - PubMed

[9] Kocur I, Resnikoff S. Visual impairment and blindness in Europe and their prevention. Br J Ophthalmol. 2002;86:716–22. - PMC - PubMed

[10] Kocur I, Resnikoff S. Visual impairment and blindness in Europe and their prevention. Br J Ophthalmol. 2002;86:716–22. - PMC - PubMed

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Artificial intelligence in diabetic retinopathy: A natural step to the future

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Artificial intelligence in diabetic retinopathy: A natural step to the future

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