NMI-ChoroidAI
Overview
NMI-ChoroidAI by NetraMind Innovations, Inc. is an artificial intelligence tool designed for the analysis of optical coherence tomography (OCT) images of the eye.
- What it does: The tool quantifies choroidal thickness and vascularity. It processes OCT scans to provide objective measurements of the choroid, a vascular layer of the eye.
- Who it is for: NMI-ChoroidAI is intended for ophthalmologists and retina specialists. It may be utilized in various care settings, including ophthalmic clinics and academic medical centers, where OCT imaging is routinely performed.
- How it fits a clinical or practice workflow: The tool integrates into the image analysis workflow following OCT acquisition. It provides automated measurements that can assist clinicians in evaluating choroidal structure, potentially aiding in the assessment and management of various retinal conditions.
- Notable capabilities: NMI-ChoroidAI offers automated, quantitative analysis of choroidal parameters from OCT images, aiming to provide consistent and objective data.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered automated choroid boundary segmentation (inner/outer)
- Analysis of choroidal vasculature
- Precise 3D segmentation of the choroid
- Comprehensive measurements of choroidal thickness, volume, and Choroidal Vascularity Index (CVI)
- Results delivered in ETDRS grid format and detailed tabulated reports
- Seamless integration into clinical workflows and research protocols
- AI-accelerated segmentation with clinician oversight
- Intuitive visualization tools
- CVI heat mapping
- Compatibility with HEYEX 2
Use Cases
- Understanding and managing retinal diseases such as AMD, CSCR, and pathological myopia
- Objective, reproducible, and automated choroidal analysis for clinicians
- Accelerating research into ocular diseases
- Enhancing diagnostic confidence in choroidal health
- Streamlining workflow for choroidal analysis
- Supporting clinical trials and translational research with standardized, high-quality analysis of ophthalmic imaging data
What Physicians Need to Know
NMI-ChoroidAI is a powerful assistive tool for objective and reproducible choroidal analysis from OCT scans, particularly valuable for understanding and managing retinal diseases like AMD, CSCR, and pathological myopia. [1, 2, 5] It significantly reduces the time and subjectivity associated with manual segmentation. [1, 2, 5] However, remember it is currently for research use and not FDA-cleared for clinical diagnosis or treatment. [1, 5] Always exercise clinical judgment and perform manual verification, especially in complex cases, as the tool is designed to assist, not replace, expert oversight. [4]
NMI-ChoroidAI is available through the Heidelberg AppWay marketplace, ensuring seamless integration with SPECTRALISu00ae OCT systems and HEYEX 2 workflow. [1, 2, 5] It provides standardized outputs in ETDRS grid format and detailed tabulated reports, as well as CSV/JSON exports, facilitating integration into existing research protocols and statistical analysis packages. [1, 2, 3, 5] NetraMind Innovations also offers comprehensive ophthalmic data management, which can further streamline data analysis and research workflows. [7]
Details
| Category | Ophthalmology AI |
| Pricing | Unknown — subscription-based |
| Deployment | Heidelberg AppWay marketplace |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Unknown AI-estimated NMI-ChoroidAI by NetraMind Innovations is intended solely as an assistive tool and is currently not CE-marked or cleared by the FDA for clinical use. It is not intended to replace professional medical judgment or to be used in the diagnosis, treatment, or prevention of any disease. |
| Integrations | |
| EHR | Not specified |
| Specialties | Ophthalmology |
What the Web Says
NMI-ChoroidAI is an AI-powered image analysis software developed by NetraMind Innovations, designed to provide automated, quantitative insights into choroidal health from OCT scans. It aims to improve diagnostic confidence, streamline workflows, and accelerate research in ocular diseases like AMD, CSCR, and pathological myopia by offering objective and reproducible analyses that are typically time-consuming and subjective when done manually. The tool is available on the Heidelberg AppWay marketplace and integrates AI-accelerated segmentation with clinician oversight.
Overall: PositiveStrengths
- Automated segmentation of choroidal boundaries, thickness, volume, and Choroidal Vascularity Index (CVI) from OCT data.
- Significantly reduces analysis time compared to manual segmentation (e.g., from 7 hours to 45 minutes for a 97-scan volume).
- Provides objective, reproducible, and standardized outputs (ETDRS grids, tabulated reports, CSV/JSON) for research and clinical workflows.
- Integrates with Heidelberg AppWay and HEYEX 2, fitting into existing research pipelines.
- Offers AI-accelerated segmentation with clinician oversight and interactive tools for review and correction, improving efficiency and accuracy.
- Developed by a team with extensive expertise in ophthalmic imaging and computational image analysis.
Limitations
- Not yet CE-marked or FDA cleared for clinical use, intended solely as an assistive tool.
- Requires mandatory human verification to correct boundary errors, especially in challenging cases like geographic atrophy (GA) with hyper-transmission artifacts.
- COB (choroidal outer boundary) detection can be more error-prone than CIB (choroidal inner boundary) in areas of hyper-transmission.
- Potential for clinically relevant bias in derived choroidal biomarkers and spurious longitudinal change if relying solely on unsupervised segmentation in GA.
- Some advanced features like 3D choroid segmentation are currently only available for specific SS-OCT devices (e.g., Zeiss Plex Elite).
- Limited independent reviews from physicians, healthcare IT, tech reviewers, Reddit, G2, or Capterra found outside of promotional materials and research papers involving its developers.
Based on reviews from: Heidelberg Engineering GmbH, Deep Learningu2013Based Choroidal Boundary Detection in Geographic Atrophy Using Spectral-Domain Optical Coherence Tomography - PMC, Netramind Innovations (netramind.com), The Ophthalmologist, TechRxiv, Middle East African Journal of Ophthalmology
Last updated: 2026-07-27
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