DISCOVERY CORE™

ELEVATE YOUR RESEARCH ANALYSIS AND BUILD A KNOWLEDGE NETWORK

RetinAI Discovery CORE™

RetinAI Discovery CORE is a platform designed to enhance your research analysis by providing you with access to AI for OCT data and the ability to share 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. 
See how Discovery CORE can help your research.
Sign up now and receive a 2 months free trial to Discovery CORE and AI.

KNOWLEDGE-CREATING FEATURES

Discovery CORE in action

The following picture provides a glimpse into the Discovery CORE platform.
Features displayed here include the overlay of AI on OCT images to visualize fluid and layers, side-by-side image comparisons on two different time points or visits, and progression plots of retinal fluid volume of a patient over time.

SECURITY GUARANTEED

AI Features as Add-ons

AI models can be added on to Discovery CORE to provide measures at scale on datasets for retinal fluid volumes and thickness across multiple layers. Additional AI add-ons include analysis of biomarkers and models for Geographic Atrophy (coming soon).

FLUID SEGMENTATION MODEL

Identifies and quantifies the volume of pathological fluid such as intraretinal fluid (IRF), subretinal fluid (SRF) and pigment epithelium detachment (PED).

LAYER SEGMENTATION MODEL

MEASURES TOTAL RETINAL AND LAYER THICKNESS FOR THE FOLLOWING LAYERS:

Retinal Nerve Fiber Layer (RNFL; Ganglion Cell Layer (GCL) + Inner Plexiform Layer (IPL); Inner Nuclear Layer (INL) + Outer Plexiform Layer (OPL); Outer Nuclear Layer (ONL); Photoreceptor (PR) + Retinal Pigment Epithelium (RPE; and Choriocapillaris (CC) + Choroidal Stroma (CS).

Fluid and layer segmentation are CE-marked in the E.U. Research Use Only in other jurisdictions.

Take a tour of Discovery CORE and its AI features

Are you interested in having your data processed by AI for accelerated analysis?
Are you working on defining best practices with a group of collaborators?
Are you building a registry and you want to increase participation and insights?

Try Discovery CORE and its AI models for fluid and layer segmentation for a limited time offer of two months free if you sign up now.
Use case:
CORE for Collaboration to Build Knowledge
CHALLENGE

Healthcare data is largely underutilized today. In general, an overwhelming majority of data (80%) is unstructured and inaccessible. Data within a network is a complex problem - in multiple locations, as multiple formats and within multiple systems that are closed and do not interact with each other. Any effort to extract insights from data takes significant investment of resources and effort, making it impractical for the majority of clinics. As a result, valuable data is unused to improve decisions, limiting improvement of patient outcomes.

SOLUTION

Unlocking knowledge from structured data can help establish best clinical practices, personalize treatment or advance new research and clinical studies. Within Discovery CORE, tools are at your fingertips to foster innovation and aggregate collaborative efforts around your data for best practices.

BENEFITS
  • Enable Collaborative Data Analysis across clinics and networks on cases, research or studies.
  • Support Education & Training of newcomers and individuals on interpreting images and cases.
  • Enable Teleophthalmology patient management in the clinic or across a referral network.
  • Create Registries and generate knowledge through global collaborations
  • Set Best Practices across the clinic or tap into network expertise too.

FAQ

How long is the free trial?
You will have 2 months free access to Discovery CORE and AI models for layer and fluid segmentation. After this period, you will have the option to sign up for a paid subscription.
What are the benefits for joining this trial?
Gain early experience with an innovative technology platform and enhance data collaboration across clinics, research, studies. Help elevate your data analysis workflows for better data-driven decisions.
Can I share the invitation with a colleague who I think will be interested in participating?
Absolutely. Please do share information on the free trial of Discovery CORE and its AI models with any healthcare provider you think may be interested in accessing this free trial.

*Disclaimer

RetinAI Discovery® and the AI models are CE-Marked medical devices according to the Medical Devices Directive 93/42/EEC.
RetinAI Discovery® is a 510(k) FDA Cleared medical device in US.
RetinAI Discovery® and Retinai® are both trademarks of RetinAI Medical AG.

Discovery and AI Models are CE-Marked medical devices since April 2020 & December 2020 respectively.