Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms

Ramanathan, Ashwin; Athikarisamy, Sam Ebenezer; Lam, Geoffrey C.

doi:10.1038/s41433-022-02366-y

Cited by 14 publications

(10 citation statements)

References 45 publications

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“…The increasing uptake of digital retinal imaging and subsequent capability of image analysis also lends itself to the development of artificial intelligence and deep learning algorithms to assist clinicians in identifying critical features of ROP, such as plus disease versus no plus or pre-plus disease, vascular severity scores or stage of ROP. Many are showing promise but as yet are not reliable enough to entirely replace the experienced clinician [ 81 ].…”

Section: Discussionmentioning

confidence: 99%

Retinopathy of prematurity: from oxygen management to molecular manipulation

Woods,

Biswas

2023

Mol Cell Pediatr

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Introduction Retinopathy of prematurity (ROP) is a vasoproliferative disorder of the premature retina with the potential to progress to extraretinal neovascularisation. This review serves as an introduction to retinopathy of prematurity (ROP), outlining key parts of ROP pathophysiology, diagnosis and treatment. ROP is traditionally diagnosed by indirect ophthalmoscopy and classified using anatomical zones, stages of disease, and the presence or absence of “plus disease” (dilation and tortuosity of the major retinal arterioles and venules). ROP has a bi-phasic pathophysiology: initial hyperoxia causes reduced retinal vascularisation, followed by pathological vaso-proliferation resulting from subsequent hypoxia and driven by vascular endothelial growth factor (VEGF). Advancements in management This review summarises previous trials to establish optimum oxygen exposure levels in newborns and more recently the development of anti-VEGF agents locally delivered to block pathological neovascularisation, which is technically easier to administer and less destructive than laser treatment. Future directions There remains an ongoing concern regarding the potential unwanted systemic effects of intravitreally administered anti-VEGF on the overall development of the premature baby. Ongoing dosing studies may lessen these fears by identifying the minimally effective dose required to block extraretinal neovascularisation.

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Section: Discussionmentioning

confidence: 99%

Retinopathy of prematurity: from oxygen management to molecular manipulation

Woods,

Biswas

2023

Mol Cell Pediatr

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“…Most of the infants were premature with less than 34 weeks of pregnancy, birth weight less than 1,500 g, history of inhalation of high concentrations of oxygen, or stunted low birth weight infants (Sabri et al, 2022). Preterm birth, low birth weight, and inhalation of high concentrations of oxygen are high-risk factors for ROP (Ramanathan et al, 2022). The clinical manifestations of children with ROP vary according to the course of the disease, which is divided into three areas according to the location of the lesion: area Ⅰ, a circular area with a radius of 2 times the distance from the optic disc to the fovea of the macula (Bai et al, 2022); area Ⅱ, a circular area centered on the optic disc to the sawtooth margin of the nasal side (Eilts et al, 2023); and area Ⅲ, the area excluding areas I and II (Nisha et al, 2023).…”

Section: Application Of Artificial Intelligence In Retinopathy Of Pre...mentioning

confidence: 99%

Artificial Intelligence Applications in Chronic Ocular Diseases

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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“…In addition to diagnosing ROP, AI techniques are capable of identifying plus disease and of assessing its severity through a new automated score. 74 In a study conducted with artificial intelligence, Brown et al managed to obtain for a set of 100 retinal photographic captures, which were previously evaluated by ophthalmologists, a sensitivity of 93% and 100% for plus disease, pre-plus disease, respectively, and a specificity of 94% for both cases. 75 In 2021, Omneya proposed an automatic diagnostic tool based on deep learning techniques named DIAROP, that had an accuracy of about 93%.…”

Section: Future Directions On Rop Screeningmentioning

confidence: 99%

Latest Trends in Retinopathy of Prematurity: Research on Risk Factors, Diagnostic Methods and Therapies

Bezman¹,

Tiutiuca²,

Totolici³

et al. 2023

IJGM

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Retinopathy of prematurity (ROP) is a vasoproliferative disorder with an imminent risk of blindness, in cases where early diagnosis and treatment are not performed. The doctors' constant motivation to give these fragile beings a chance at life with optimal visual acuity has never stopped, since Terry first described this condition. Thus, throughout time, several specific advancements have been made in the management of ROP. Apart from the most known risk factors, this narrative review brings to light the latest research about new potential risk factors, such as: proteinuria, insulin-like growth factor 1 (IGF-1) and blood transfusions. Digital imaging has revolutionized the management of retinal pathologies, and it is more and more used in identifying and staging ROP, particularly in the disadvantaged regions by the means of telescreening. Moreover, optical coherence tomography (OCT) and automated diagnostic tools based on deep learning offer new perspectives on the ROP diagnosis. The new therapeutical trend based on the use of anti-VEGF agents is increasingly used in the treatment of ROP patients, and recent research sustains the theory according to which these agents do not interfere with the neurodevelopment of premature babies.

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Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms

Cited by 14 publications

References 45 publications

Retinopathy of prematurity: from oxygen management to molecular manipulation

Retinopathy of prematurity: from oxygen management to molecular manipulation

Artificial Intelligence Applications in Chronic Ocular Diseases

Latest Trends in Retinopathy of Prematurity: Research on Risk Factors, Diagnostic Methods and Therapies

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