This startup develops AI-powered software for analyzing intracoronary imaging, providing real-time tissue segmentation and measurement. This technology helps clinicians identify high-risk patients and conduct proactive, personalized interventions to prevent heart attacks by eliminating human variability in analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Analyzing intracoronary Optical Coherence Tomography (OCT) images to identify vulnerable plaques is a complex and time-consuming process, often subject to human error and variability. This can lead to delays in diagnosis and inconsistent assessments of high-risk patients, hindering proactive interventions.
Solution
Octiocor offers AutoOCT™, an AI-driven software platform designed to automate the analysis of intracoronary OCT images, providing clinicians with accurate and consistent tissue segmentation and measurement. By leveraging deep-learning AI modules, AutoOCT™ identifies and measures clinically relevant parameters such as lumen diameter and area, lipid and calcium arc, fibrous cap thickness (FCT), and plaque structural stress (PSS). The platform corrects for common image artifacts and eliminates inter-observer variability, delivering real-time decision support for interventional procedures. AutoOCT™ is available via a web interface, enabling data aggregation from different clinical sites in a secure and timely manner, streamlining clinical trial workflows and research analysis.
Target Audience
The primary target audience includes cardiologists, interventional cardiologists, clinical researchers, and medical device/drug companies involved in clinical trials and research related to coronary artery disease.
Features
- AI-driven tissue segmentation and measurement of intracoronary OCT images
- Automated identification of lumen, lipid, calcium, and fibrous cap regions
- Real-time analysis of lumen diameters and area, lipid and calcium arc, depth and area, Fibrous Cap Thickness (FCT), and plaque structural stress (PSS)
- Correction for common OCT image artifacts
- Elimination of human inter-observer variability
- Web-based platform for data aggregation and secure access
- Streamlined clinical trial workflow with immediate visualization of tissue segments and measurements
- Downloadable clinical measurements in Excel or CSV format
- Trained on a large, curated dataset of diverse patients with early and advanced disease states