Life-saving
heart attack prevention

Improve patient outcomes with precision coronary imaging to detect high-risk vulnerable plaques.

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Accurate, Consistent and Cost Effective.

Mission

Our mission is to prevent heart attacks in high-risk patients through our revolutionary coronary imaging technology.

We aim at providing the best intracoronary imaging (ICI) analysis software.

Offering cutting-edge intracoronary imaging analysis software, our platform is at the forefront of cardiovascular care, dedicated to studying and ultimately preventing heart attacks, in high-risk patients.

Our AI-based software empowers clinicians with comprehensive tools for in-depth analysis, facilitating proactive interventions and personalized treatments that prioritize the long-term well-being of high-risk individuals.

AI-driven technology

We use Optical Coherence Tomography (OCT) images — the highest resolution in-vivo modality — to study atherosclerosis, the disease causing most heart attacks and strokes.

AutoOCT™, our AI-based software, corrects for frequent image artifacts, identifies accurately demarcated tissue interfaces, and measures clinically important lumen and plaque parameters.

Real-time tissue segmentation and measurement identify high-risk vulnerable plaques, guiding evidence-based prophylactic treatment of high-risk patients that improves outcomes.

AutoOCT™ can also be used for clinical trials and research analysis.

Future development will include IVUS and hybrid imaging.

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OCT Image

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AutoOCT™ Segmentation

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AutoOCT™ Stress Map

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Lipid

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Lumen

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Calcium

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Thin Fibrous Cap

AI-driven

Leverages a series of deep-learning AI modules to identify, segment and measure different tissue structures in intracoronary OCT images.

Consistent and repeatable

Eliminates well-documented human inter-observer variability when reading OCT images.

Large curated dataset

Trained on the largest known curated dataset of diverse and unselected patients with early and advanced disease states.

Fast and cost effective

Delivers analysis via web interface to clinical trials sponsors in minutes rather than waiting months for human annotation.

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Applications

The AutoOCT™ AI engine segments and measures relevant clinical parameters on all frames in a pullback in real time, including lumen diameters and area, and demarcates the external elastic lamina (EEL). Importantly, AutoOCT™ accurately measures lipid and calcium arc, depth and area, Fibrous Cap Thickness (FCT), and plaque structural stress (PSS), all important features of high risk vulnerable plaques. AutoOCT™ comprehensive output can provide timely information to the cardiologist to guide interventional procedures.

The AutoOCT™ AI engine is the intelligent add-on to any ICI medical device for real time image interpretation and clinical decision support in interventional cardiology.

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The AutoOCT™ web-based platform enables data aggregation from different clinical sites where patient pullback images are captured in a secure and timely fashion, protecting patient data confidentiality and streamlining the clinical trial workflow. Once uploaded, each pullback image is analysed with our cutting-edge AI tissue segmenter and required clinical measurements are extracted. Tissue segments and measurements can be visualised immediately on the web-platform. The clinical measurements can be downloaded in a excel or CSV format for subsequent cohort analysis.

The AutoOCT™ web-based platform is the ideal companion for clinical trials and research in the study coronary disease applications for medtech/drug companies, core laboratories and academic researchers.

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Our latest news

2 min read   |   March 19, 2025

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AI Image Analysis Co-founders’ Publication Accepted by European Heart Journal Digital Health

In a major step forward for both AI and cardiovascular medicine, the European Heart Journal Digital Health has accepted a comprehensive review by Octiocor Ltd founders Prof. Martin Bennett and Dr. Mike Roberts on the role of artificial intelligence in intracoronary optical coherence tomography (OCT).

Intracoronary OCT is a high-resolution imaging technique that captures detailed views of the coronary arteries, enabling early diagnosis of cardiovascular disease. However, interpreting OCT data remains complex and time-consuming, making it an ideal candidate for AI innovation.

The review examines the current academic publication landscape for AI applications in OCT, spotlighting how machine learning is transforming image analysis, enhancing diagnostic accuracy, and predicting patient outcomes with increasing speed and precision. It also addresses key challenges, including data variability, model generalisability, and regulatory barriers.

“AI holds great potential to dramatically improve diagnostic accuracy in many fields, including cardiovascular imaging,” said Dr. Mike Roberts. “Our review offers a clear snapshot of current capabilities and outlines where we need to go next.”

The publication underscores Octiocor’s leadership at the intersection of AI and cardiovascular imaging—two fields poised for rapid transformation.

“This review is just the beginning,” added Prof. Martin Bennett. “We’re committed to advancing AI tools that can truly make a difference in clinical care.”

Stay tuned for more from Octiocor as they continue to push the boundaries of medical imaging through AI.

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1 min read   |   February 11, 2025

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Octiocor’s AutoOCT™ Selected for Oral Presentation at EuroPCR 2025

We’re excited to share that Octiocor’s groundbreaking automated OCT analysis system, AutoOCT™, has been selected for two oral presentations at EuroPCR 2025, Europe’s premier event for interventional cardiovascular medicine, including the prestigious Innovations session. EuroPCR brings together leading experts in cardiology and provides a powerful platform to showcase advancements that could shape the future of cardiovascular care.

The opportunity to present AutoOCT™ at EuroPCR is a significant milestone for Octiocor, as it underscores the growing recognition of our system’s potential to transform the field of cardiac imaging. AutoOCT™ woffers clinicians a faster, more accurate, and repeatable way to analyse OCT images, empowering them to make critical decisions with greater confidence.

We’re looking forward to the engaging discussions and feedback from thought leaders in the cardiovascular community. This recognition is not just a testament to the hard work of our team but also to the incredible promise of AutoOCT™ in improving patient care and advancing the future of interventional cardiology. Stay tuned for more exciting updates as we prepare for this incredible opportunity!

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1 min read   |   October 7, 2024

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Octiocor’s AutoOCT™ Shines at 2024 TCT Meeting in Washington D.C.

Octiocor is proud to announce that our cutting-edge automated OCT analysis system, AutoOCT™, was featured in the Innovations session at the prestigious 2024 International Transcatheter Therapeutics (TCT) meeting in Washington D.C. TCT is one of the most influential global forums for interventional cardiology, bringing together experts and innovators from across the world.

During the event, Octiocor co-founder and CMO Prof. Martin Bennett shared insights on the powerful capabilities of AutoOCT™, which will revolutionise the way clinicians analyse optical coherence tomography (OCT) images. As Martin Bennett said ‘We had a great response from both industry and potential funders that we’re currently exploring’, and Octiocor is currently exploring exciting opportunities to advance AutoOCT™ further, thanks to the invaluable connections made at TCT.

At Octiocor, we're committed to improving patient outcomes and advancing medical technology. With AutoOCT™, we’re making significant strides toward providing faster, more accurate diagnostic tools for cardiologists worldwide. Stay tuned for more updates as we continue to innovate and lead the way in cardiac imaging.

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3 min read   |   September 23, 2024

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Octiocor Co-founder to Present Pioneering Research on Automated OCT Image Analysis at the Vulnerable Plaque Meeting in Sevilla

We are excited to share another significant milestone for Octiocor! Our cofounder, Professor Martin Bennett, will be presenting cutting-edge research on the automated analysis of OCT (Optical Coherence Tomography) images at the prestigious Vulnerable Plaque Meeting (VPM) in Sevilla, Spain.

About the Presentation

The presentation will highlight the Octiocor team’s innovative work on the development of advanced algorithms for the automated analysis of OCT images, particularly focusing on how these tools can detect vulnerable plaques, potentially life-threatening arterial conditions that can lead to heart attacks.

Through this research, Prof. Bennett and the team at Octiocor have developed a novel approach that enhances the accuracy, speed, and reliability of OCT image analysis. The ability to automatically detect and assess vulnerable plaques could dramatically improve early diagnosis, clinical decision-making, and ultimately patient outcomes. This advancement represents a significant leap in the application of AI and machine learning in medical imaging.

What this Means

The ability to detect vulnerable plaques earlier could revolutionise the way cardiologists and vascular specialists approach cardiovascular disease management. This presentation is particularly timely as the medical community continues to explore more effective methods for identifying at-risk patients, especially when traditional diagnostic methods can sometimes fall short.

At Octiocor, we are driven by our commitment to leveraging technology and research to tackle real-world health challenges. Presenting this work at an esteemed conference like the VPM reinforces our mission to transform healthcare through innovation, while also contributing to the broader academic and medical community.

Looking Ahead: The Future of Automated OCT Image Analysis

As this research evolves, Prof. Bennett and team will continue to lead the way in refining algorithms that integrate artificial intelligence with medical imaging. Our team is working tirelessly to bring these breakthroughs to the clinic, where they can provide tangible benefits to healthcare providers and patients alike.

The insights shared at this event will not only help shape future studies but also strengthen our collaborations with key industry partners. We are excited about the opportunities that lie ahead in medical imaging, and this presentation is a key part of that journey.

Join Us at the Vulnerable Plaque Meeting

If you’re attending the VPM in Sevilla, please message us directly at info@octiocor.com and don’t miss the opportunity to see Prof. Bennett’s presentation in person. We look forward to engaging with experts in the field and discussing how this research can drive progress in diagnosing and treating cardiovascular disease.

Stay tuned for more updates, and thank you for supporting Octiocor as we continue to push the limits of leveraging Artificial Intelligence and Computer Vision in the automated analysis of OCT images.

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