The evaluation against pathologist assessments on - to our knowledge - the most diverse datasets used so far demonstrated that the investigated Al system achieves high accuracy in the detection of invasive breast cancer. With the prospect of being used as standalone diagnostic software or for prioritization cases for workflow optimization, this Al system could thus help to identify patients with invasive breast cancer faster and more accurately.
Large-Scale Validation of a Robust Artificial Intelligence Algorithm for Detection of Invasive Breast Cancer on H&E Images
Related reading
Elevate Your Diagnostic Workflow with Clinical-Grade AI
Whether you are looking to scale your lab’s capacity with our existing high-performance IHC suites or require a custom AI solution tailored to your specific diagnostic workflow, Mindpeak is your dedicated partner in precision pathology.
Our technology is already trusted in over 40 labs globally and features the most comprehensive integration ecosystem in the industry, with 18+ clinical IMS partner integrations to ensure a "plug-and-play" experience with your existing hardware. Stop manual reader variability and start delivering reproducible, algorithm-driven results for every patient
Join the future of digital pathology with our diagnostic AI platform.
