RetinAI Discovery

Transformative AI & data management platform to enable the right decisions sooner in Healthcare

Contact for Pricing

Description

RetinAI Discovery is a comprehensive AI and data management system designed for the healthcare sector, with a particular focus on ophthalmology. It assists healthcare professionals, pharmaceutical companies, and researchers by centralizing diverse medical data types, including images like OCT and Fundus, as well as EHR and genetic information, within a single platform. This system facilitates streamlined data handling and secure access across various organizations and research collaborators.

The Discovery platform leverages artificial intelligence for automated analysis, providing valuable insights into disease progression, treatment outcomes, and predictive analytics. It incorporates both CE-marked and research-use-only AI models capable of tasks such as retinal layer and fluid segmentation, particularly supporting work related to common vision-threatening diseases. This functionality aids clinical trials, real-world evidence generation, and collaborative medical research, enabling users to make more informed and efficient decisions within their clinical and research workflows.

Key Features

Unified Data Management: Consolidates diverse medical data formats (images, EHR, demographics, genetics) in a single, vendor-neutral platform.
AI-Powered Analysis: Utilizes CE-marked and research AI models for automatic biomarker extraction and insights in ophthalmology (e.g., fluid, layer, Geographic Atrophy segmentation).
Clinical Trial Acceleration: Centralizes data collection, enables real-time evaluation of enrollment criteria/endpoints, and monitors study progress.
Real World Evidence Generation: Aggregates datasets and applies AI models to gain insights into patient behaviors and disease progression.
Secure Global Collaboration: Cloud-based platform compliant with EU GDPR, HIPAA, & Canadian PIPEDA for secure data sharing and multi-center studies.
Natural Language Search: Enables searching patient databases for target-based enrollment criteria using intuitive queries.
AI Model Creation Support: Allows users to extract annotations from datasets to train or improve custom AI models.

Use Cases

Accelerating R&D from development to commercialization in Pharma & Life Sciences.
Improving clinical workflows and patient management in Clinics & Hospitals.
Enhancing clinical and academic research with AI-driven data analysis.
Developing and applying AI models for academic and AI researchers.
Managing multi-center clinical trials data collection and analysis.
Generating Real World Evidence (RWE) in ophthalmology.
Facilitating tele-ophthalmology evaluations.
Supporting precision medicine initiatives in ophthalmology.