AI-powered Retinal Abnormality Screening Tool

AI-powered Retinal Abnormality Screening Tool

India flag

India

Healthcare

High replicability and adaptation

Implementing Organisation

Artificial Learning Systems India Pvt Ltd (Artelus)

India, Karnataka, Bengaluru

Private Sector

Implementing Point of Contact

Girish Somvanshi

Director

Contributor of the Impact Story

Carnegie India

Year of implementation

2016

Problem statement

Despite significant advances in retinal imaging and treatment, avoidable blindness remains a growing public health challenge in India and other low- and middle-income regions. Conditions such as diabetic retinopathy and age-related macular degeneration often progress silently and are detected late, when vision loss is irreversible. The core problem is not the lack of treatment, but the absence of timely, scalable, and high-quality detection and referral at the community and primary-care level. Retinal screening today is constrained by the dependence on scarce specialists, bulky and expensive equipment, subjective interpretation of images, and weak referral linkages between screening sites and retina specialists. As a result, millions of at-risk individuals - especially the elderly, diabetics, and underserved populations - remain unscreened. Manual screening and interpretation also introduce variability, limiting consistency and confidence in referral decisions. Artelus addresses this by rethinking retinal care as an end-to-end, technology-enabled pathway. Enabling early, accurate, and autonomous detection of retinal pathologies at scale, using portable robotic imaging systems combined with deep learning, while ensuring that identified patients are seamlessly triaged and referred into appropriate care pathways. Without such an integrated, AI-driven approach, preventable blindness will continue to rise despite the availability of effective therapies.

Submission Overview

Artelus is an Indian deeptech healthcare company focused on preventing avoidable blindness (which accounts for 90% of all blindness) by making retinal screening and diagnosis accurate, affordable, accessible, and available. The organization designs and manufactures portable, electricity-independent ophthalmic imaging devices and pairs them with AI-based retinal analytics to detect abnormalities early - especially in largescale screening settings where specialist availability is limited. Artelus operates at the intersection of medical devices and applied AI. Its flagship offerings include a portable operator-independent fundus camera and a portable OCT (Optical Coherence Tomography) system, along with AI models for multi-pathology retinal abnormality detection. The company emphasizes field-ready deployment: easy-to-use devices, rapid image capture, and decision-support reports that can improve productivity for clinicians and screening programs. The company holds ISO 13485:2016 certification and has built a strong intellectual property base, with 18 patents. Artelus has enabled large-scale impact through screening initiatives—having screened over 180,000 people and identified more than 40,000 individuals with retinal abnormalities—supporting early referral and treatment pathways. It has also been recognized among leading patent filers in the Indian deeptech startup ecosystem and has received multiple awards and recognitions. Artelus’ mission is to reduce the burden of blindness through scalable AI-enabled retinal screening, with long-term aspirations to support doctors globally and expand deployments beyond India, including emerging markets and regulated geographies through regulatory approvals and clinical evaluations.

AI Technology Used

AI/ML

Deep Learning

Key Outcomes

Economic Value Creation

Access & Reach

Inclusion & Equity Other - Reduction of Poverty

Avoidable blindness remains a growing public health challenge in India, with conditions like diabetic retinopathy often detected too late for effective intervention. The core problem is the absence of scalable screening at the community level. Artelus combines deep learning with autonomous pathology detection to enable screening without dependence on ophthalmologist availability. Over 200,000 individuals have been screened, with deployments reaching multiple rural districts. Over 200 operators have been trained to conduct AI-assisted screenings, extending detection to underserved areas.

Impact Metrics

Total Beneficiaries Screened

Baseline Value

Limited access due to dependency on ophthalmologist availability Number of Individuals

Post-Implementation

Over 200,000 individuals screened Number of Individuals

Internal Monitoring·Jan 2019 - Dec 2025

Improvement in Screening Coverage in Underserved Areas

Baseline Value

Minimal or no access to screening Locations covered

Post-Implementation

Deployments and/or screenings enabled across multiple rural districts and villages Locations covered

Internal Monitoring·Jan 2021 - Dec 2025

Reduction in Cost per Screening

Baseline Value

Screening costs ranged betwen INR 600-1,500 per screening Cost (INR) per screening

Post-Implementation

Cost brought down to between INR 150–250 per screening Cost (INR) per screening

Internal Monitoring·Jan 2022 - Dec 2025

Improvement in Screening Coverage in Underserved Areas

Baseline Value

Minimal or no access to screening Locations covered

Post-Implementation

Deployments and/or screenings enabled across multiple rural districts and villages Locations covered

Internal Monitoring·Jan 2021 - Dec 2025

Increase in patients screened per day using AI-assisted workflows

Baseline Value

20 -30 patients per day screened

Post-Implementation

Increase in patients screened to 80-100 per day Patients per day

Internal Monitoring·Jan 2022 - Dec 2025

Number of technicians/operators trained to conduct AI-assisted screenings

Baseline Value

Screening were dependent on ophthalmologist Number of individuals trained

Post-Implementation

Over 200 operators trained in AI-assisted screening Number of individuals trained

Internal Monitoring·Jan 2021 - Dec 2025

Implementation Context

Deployed

Already present in India, Nepal, Saudi Arabia and UAE. It is at the agreement and/or negotiation stage in Morrocco and the UK. There are also plans of expansion in Africa, Commonwealth of Indepedent States (CIS) countries, South-East Asia and the United States.

Underserved people with limited access to healthcare

Key Partnerships

CFS, Narayan Nethralaya, PGIMER, SightSavers, Noor Dubai

Replicability & Adaptation

High

1. Artelus is inherently suited for adaptation across diverse geographies and delivery contexts, supported by a portable, camp-ready setup with battery backup and privacy safeguards 2. Its plug-and-play, operator-independent workflow enables high-throughput screening, from pre-registration and image capture to AI triage and instant report generation, while allowing task-shifting to locally trained technicians 3. Offline-first AI, built-in image quality checks, clear triage thresholds, referral linkages, and system integrations ensure consistent performance, data security, and effective follow-up even in low-connectivity, high-volume settings

Supporting Materials

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.