On the edge. Proven. Reliable

MediosHI
ROP AI

The World’s First Truly Offline AI Solution for Screening and Clinical Documentation of Retinopathy of Prematurity (ROP).

Serves a

USD

212.6

Million

Growing at a CAGR of 19.3%

AI-Autograding ROP (Retinopathy of Prematurity) Market.​​

MediosHI ROP AI serves neonatal intensive care units (NICUs), paediatric hospitals, and public health screening programs focused on early detection and timely management of ROP in preterm infants​

Bringing Timely ROP  
Screening to the Point of Care.

~1.4 million preterm infants are at risk of ROP each year. A leading cause of preventable childhood blindness, ROP demands timely screening, yet limited specialist access and inconsistent NICU workflows result in delayed or missed diagnoses.​

MediosHI ROP AI closes this gap by enabling consistent, objective analysis of retinal images, supporting early identification of at-risk infants, timely referral, and reliable adherence to ROP screening protocols at scale.​

Product Features

Clinically Validated Performance: MediosHI ROP AI models for ROP screening have demonstrated high accuracy in published studies, with average sensitivity ~96 % and specificity ~98 % for detecting ROP.​
On‑the‑Edge AI Analysis: Performs fully offline, on‑device retinal images, highlighting clinically relevant features and supporting consistent, objective screening.​
Point-of-Care ROP Screening: Provides fast, reliable bedside results for timely decisions and referrals. Supports high-volume, standardized screening across all NICUs and large programs, maintaining consistent clinical quality.​

Smart Solutions Tailored
for Every Setting

Neonatal Intensive
Care Units (NICUs)​

Maternity
Centres​

Public Health & Government
ROP Programs​

Tertiary Eye Care Centers
& Referral Networks​

Private Eye
Clinics  ​

Specialty Screening
Centers​

Clinical Validation & Device Performance​

What our Customers say

Product Video