The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

Carla Danese; Aditya U Kale; Tariq Aslam; Paolo Lanzetta; Jane Barratt; Yu-Bai Chou; Bora Eldem; Nicole Eter; Richard Gale; Jean-François Korobelnik; Igor Kozak; Xiaorong Li; Xiaoxin Li; Anat Loewenstein; Paisan Ruamviboonsuk; Taiji Sakamoto; Daniel S W Ting; Peter van Wijngaarden; Sebastian M Waldstein; David Wong; Lihteh Wu; Miguel A Zapata; Javier Zarranz-Ventura

doi:10.1097/ICU.0000000000000980

The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

Carla Danese, Aditya U Kale, Tariq Aslam, Paolo Lanzetta, Jane Barratt, Yu-Bai Chou, Bora Eldem, Nicole Eter, Richard Gale, Jean-François Korobelnik, Igor Kozak, Xiaorong Li, Xiaoxin Li, Anat Loewenstein, Paisan Ruamviboonsuk, Taiji Sakamoto, Daniel S W Ting, Peter van Wijngaarden, Sebastian M Waldstein, David WongLihteh Wu, Miguel A Zapata, Javier Zarranz-Ventura

Research output: Contribution to journal › Review article › peer-review

Abstract

PURPOSE OF REVIEW: The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic.

RECENT FINDINGS: Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations.

SUMMARY: It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.

Original language	English
Pages (from-to)	396-402
Number of pages	7
Journal	Current opinion in ophthalmology
Volume	34
Issue number	5
DOIs	https://doi.org/10.1097/ICU.0000000000000980
Publication status	Published - 1 Sept 2023

Keywords

artificial intelligence
disease management
retina

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10.1097/ICU.0000000000000980Licence: CC BY

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Danese, C., Kale, A. U., Aslam, T., Lanzetta, P., Barratt, J., Chou, Y.-B., Eldem, B., Eter, N., Gale, R., Korobelnik, J.-F., Kozak, I., Li, X., Li, X., Loewenstein, A., Ruamviboonsuk, P., Sakamoto, T., Ting, D. S. W., van Wijngaarden, P., Waldstein, S. M., ... Zarranz-Ventura, J. (2023). The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus. Current opinion in ophthalmology, 34(5), 396-402. https://doi.org/10.1097/ICU.0000000000000980

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abstract = "PURPOSE OF REVIEW: The aim of this review is to define the {"}state-of-the-art{"} in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic.RECENT FINDINGS: Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations.SUMMARY: It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.",

keywords = "artificial intelligence, disease management, retina",

author = "Carla Danese and Kale, {Aditya U} and Tariq Aslam and Paolo Lanzetta and Jane Barratt and Yu-Bai Chou and Bora Eldem and Nicole Eter and Richard Gale and Jean-Fran{\c c}ois Korobelnik and Igor Kozak and Xiaorong Li and Xiaoxin Li and Anat Loewenstein and Paisan Ruamviboonsuk and Taiji Sakamoto and Ting, {Daniel S W} and {van Wijngaarden}, Peter and Waldstein, {Sebastian M} and David Wong and Lihteh Wu and Zapata, {Miguel A} and Javier Zarranz-Ventura",

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year = "2023",

month = sep,

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doi = "10.1097/ICU.0000000000000980",

language = "English",

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Danese, C, Kale, AU, Aslam, T, Lanzetta, P, Barratt, J, Chou, Y-B, Eldem, B, Eter, N, Gale, R, Korobelnik, J-F, Kozak, I, Li, X, Li, X, Loewenstein, A, Ruamviboonsuk, P, Sakamoto, T, Ting, DSW, van Wijngaarden, P, Waldstein, SM, Wong, D, Wu, L, Zapata, MA & Zarranz-Ventura, J 2023, 'The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus', Current opinion in ophthalmology, vol. 34, no. 5, pp. 396-402. https://doi.org/10.1097/ICU.0000000000000980

TY - JOUR

T1 - The impact of artificial intelligence on retinal disease management

T2 - Vision Academy retinal expert consensus

AU - Danese, Carla

AU - Kale, Aditya U

AU - Aslam, Tariq

AU - Lanzetta, Paolo

AU - Barratt, Jane

AU - Chou, Yu-Bai

AU - Eldem, Bora

AU - Eter, Nicole

AU - Gale, Richard

AU - Korobelnik, Jean-François

AU - Kozak, Igor

AU - Li, Xiaorong

AU - Li, Xiaoxin

AU - Loewenstein, Anat

AU - Ruamviboonsuk, Paisan

AU - Sakamoto, Taiji

AU - Ting, Daniel S W

AU - van Wijngaarden, Peter

AU - Waldstein, Sebastian M

AU - Wong, David

AU - Wu, Lihteh

AU - Zapata, Miguel A

AU - Zarranz-Ventura, Javier

PY - 2023/9/1

Y1 - 2023/9/1

N2 - PURPOSE OF REVIEW: The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic.RECENT FINDINGS: Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations.SUMMARY: It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.

AB - PURPOSE OF REVIEW: The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic.RECENT FINDINGS: Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations.SUMMARY: It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.

KW - artificial intelligence

KW - disease management

KW - retina

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U2 - 10.1097/ICU.0000000000000980

DO - 10.1097/ICU.0000000000000980

M3 - Review article

C2 - 37326216

SN - 1040-8738

VL - 34

SP - 396

EP - 402

JO - Current opinion in ophthalmology

JF - Current opinion in ophthalmology

IS - 5

ER -

The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

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