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AI-assisted telescreening and mobile units may provide cost-effective screening for retinopathy of prematurityNew Technologies May Lower Costs of Retinopathy of Prematurity Care

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Key Takeaway
Consider AI-assisted telescreening and mobile units as scalable, cost-effective strategies to reduce the burden of ROP.

This narrative review examines the economic and social burdens associated with retinopathy of prematurity (ROP) and evaluates the feasibility of various screening and diagnostic technologies. The authors synthesize evidence regarding the cost-effectiveness of screening, diagnostic imaging, and treatment strategies to determine the most sustainable approaches for managing ROP in diverse clinical settings.

Key findings suggest that AI-assisted telescreening and smartphone-based imaging may serve as cost-effective and scalable screening strategies. Furthermore, the review indicates that mobile screening units and national telemedicine networks appear feasible for implementation in low- and middle-income countries. A primary argument presented is that the long-term societal costs associated with ROP-related blindness substantially exceed the costs of implementing timely screening and early intervention.

Several limitations are noted, including a lack of evidence regarding long-term follow-up costs and the economic consequences of delayed or missed screening. Additionally, the review notes a lack of evidence regarding the comparative cost-effectiveness of anti-vascular endothelial growth factor therapy versus laser photocoagulation. These findings suggest that healthcare systems should consider prioritizing screening programs, validated telemedicine, AI-assisted technologies, and national screening registries to mitigate the high costs of ROP-related blindness.

How this fits prior evidence

This narrative review extends prior evidence regarding the utility of telemedicine in low-resource settings, which previously showed 0.93 to 0.97 sensitivity and specificity for screening retinopathy of prematurity. While previous evidence established the clinical efficacy of telemedicine, this review adds a layer of economic and feasibility analysis, suggesting that AI-assisted and mobile-based systems may be specifically cost-effective and scalable for broader implementation.

Retinopathy of prematurity is a serious eye condition that can affect premature infants. This review looked at how different technologies, such as AI-assisted screening and smartphone-based imaging, could help manage the condition. The review also looked at the use of mobile units and telemedicine networks to reach more families.

Findings suggest that AI and smartphone tools may be cost-effective ways to screen infants. Additionally, mobile units and telemedicine networks appear to be practical ways to provide care in lower-income areas. The review notes that the long-term costs of blindness caused by this condition are much higher than the costs of early screening and treatment.

Because this was a narrative review, the evidence is not yet enough to change standard medical practice. There is still a lack of data on long-term costs and the specific cost-effectiveness of different medications. These findings suggest that healthcare systems could consider these technologies to improve reach and efficiency.

What this means for you:
AI and mobile tools may offer more affordable ways to screen and treat retinopathy of prematurity in infants.

Common questions

Can AI help with retinopathy of prematurity?

The review suggests that AI-assisted telescreening and smartphone-based imaging may be cost-effective and scalable ways to screen infants. These technologies could help healthcare systems identify issues earlier. However, more research is needed to see how these tools compare to other specific treatments.

How can low-income areas access eye care for infants?

Mobile screening units and national telemedicine networks appear to be feasible ways to provide care in low- and middle-income countries. These methods can help reach more infants who need screening for retinopathy of prematurity when local resources are limited.

Is early screening worth the cost?

The review found that the long-term societal costs of blindness caused by retinopathy of prematurity are much higher than the costs of early screening and intervention. This suggests that early detection is a way to reduce the overall economic and social burden of the condition.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedAug 2026
View Original Abstract ↓
Retinopathy of prematurity (ROP) is a leading preventable cause of childhood blindness, particularly among premature infants. This transnational narrative review synthesizes international evidence on the economic and social burden of ROP from 2003 to 2025, focusing on the cost-effectiveness of screening, diagnostic imaging, and treatment strategies. A structured PubMed search using the terms “ROP neonate social cost” and “economic impact of ROP” was supplemented through the “Similar Articles” and “Cited Articles” functions. The review included cost-effectiveness analyses, cost-utility studies, burden-of-disease reports, and policy-related evidence published in all languages. Following the thematic framework proposed by Rivero-Arias et al. (2024), the evidence was synthesized to explore the economic implications of ROP screening and management while informing future policy directions. Evidence from 15 eligible studies identified through the primary search was complemented by 71 additional relevant publications identified through PubMed citation tracking. The available evidence suggests that AI-assisted telescreening and smartphone-based imaging may represent cost-effective and scalable screening strategies, while mobile screening units and national telemedicine networks appear feasible in low- and middle-income countries. The reviewed literature also indicates that the long-term societal costs associated with ROP-related blindness substantially exceed those of timely screening and early intervention. However, important evidence gaps remain regarding long-term follow-up costs, the comparative cost-effectiveness of anti-vascular endothelial growth factor therapy vs. laser photocoagulation, and the economic consequences of delayed or missed screening. Successful ROP care models involve multisectoral collaboration among healthcare systems, education, and technology stakeholders. National initiatives in Argentina, India, Rwanda, and Saudi Arabia illustrate how integrated screening programmes, digital innovation, and international collaboration may reduce preventable ROP-related blindness while improving equitable access to care. From a policy perspective, healthcare systems should consider prioritizing screening programmes, validated telemedicine and AI-assisted technologies, national screening registries, and workforce training through tele-education. Future research should expand societal cost and cost-effectiveness analyses, particularly in high-income countries, strengthen AI validation studies, and develop country-specific economic models reflecting local healthcare resources and neonatal intensive care unit organization. Adaptive screening policies, supported by interdisciplinary collaboration and regular updates of screening guidelines, will be essential to reducing the long-term social and economic burden of ROP.
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