---
title: RetinAI Discovery CORE Reviews
meta_title: 'RetinAI Discovery CORE Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how RetinAI Discovery CORE works for a business like yours.
date_modified: '2024-10-06'
parent_category:
  name: Life Sciences
  url: https://www.g2.com/categories/life-sciences
---

# RetinAI Discovery CORE Reviews
**Vendor:** RetinAI  
**Category:** [Other Life Sciences Software](https://www.g2.com/categories/other-life-sciences)
## About RetinAI Discovery CORE
RetinAI Discovery CORE is a software solution designed to enhance your research analysis by providing you with access to AI for medical data and the ability to share, understand and navigate data in a secure and collaborative way. CORE benefits physicians and researchers by accelerating research analysis efficiently and at scale. The platform quantifies endpoints and biomarkers automatically to quickly define patient subgroups. In addition to AI, CORE offers users the ability to annotate images and capture new findings with electronic case report forms (eCRFs) in a digitalized environment. With CORE's collaborative features, the platform supports the creation and evaluation of registries, real-world evidence databases and the ability to train other peers for best practices. Discovery CORE is a cloud-based platform that is GDPR and HIPAA-compliant and is a single environment for real-time visibility and centralization of data. Discovery CORE accepts multiple data formats across imaging and medical data. The compatible formats include DICOM-compliant, .e2e, .fda, jpeg, png, pdf. Discovery CORE is your powerful technology partner for data analysis and network-building on insights to expand your research reach in Ophthalmology.






- [View RetinAI Discovery CORE pricing details and edition comparison](https://www.g2.com/products/retinai-discovery-core/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-16+16%3A06%3A34+-0500&secure%5Bsession_id%5D=1807eedc-7194-4341-987b-ca15abdee6f0&secure%5Btoken%5D=74b7b2fc06d06f6c127749c372d73a42a2b2c08e8d9e57f4b688dc19dc6ce29b&format=llm_user)


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