Perimeter Medical Imaging AI Reports Its Proprietary Artificial Intelligence Algorithm + OCT Identified 96.8% of Positive Breast Cancer Margins in Newly Published Peer Reviewed Study
- High sensitivity and specificity of the AI model in identifying pathology-positive margins.
- Potential to decrease reoperation rates in breast cancer surgery.
- AI technology's role in enhancing surgical outcomes and expanding market reach.
- Ongoing clinical trial led by Dr. Alastair Thompson to evaluate Perimeter's technology.
- None.
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From a clinical perspective, the deep learning model showed high levels of sensitivity and specificity, accurately identifying
Adrian Mendes, Perimeter's Chief Executive Officer, stated, "We have a training dataset of several million proprietary images of both cancerous and healthy tissue captured with our OCT imaging technology. Our world-class AI team has developed models tailored for real-time applications in healthcare settings and used our vast image library to train these models to achieve an industry-leading result. Perimeter's AI leadership represents a key value driver as we build a product pipeline that aims to improve surgical outcomes and broaden our addressable market through a variety of tissue types beyond breast."
An ongoing, multi-center, randomized, two-arm, pivotal clinical trial – led by Principal Investigator, Dr. Alastair Thompson at Baylor College of Medicine – is evaluating the use of Perimeter B-Series OCT combined with its proprietary ImgAssist AI software during breast conservation surgery. Perimeter intends to conduct a planned interim analysis in the second quarter of 2024, with study completion anticipated by the end of 2024.
About Perimeter Medical Imaging AI, Inc.
Based in
Perimeter B-Series OCT is limited by
Perimeter S-Series OCT has 510(k) clearance under a general indication and has not been evaluated by the
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