Imagine trying to pick a haircut without knowing how it will look on your specific face shape. This tool does that for breast cancer surgery, using AI to match a patient's body type with real photos of previous patients. It helps women see a realistic preview of their results before they decide on a procedure. This removes the guesswork and helps patients feel more confident about their choices.
Patients often struggle to visualize surgical outcomes, leading to a 33% disappointment rate in aesthetic results. This gap in communication causes psychological distress and costly revision surgeries.
A digital health APP integrated with the BreLo-AI algorithm and CANKADO cloud platform. It provides biometric image matching and multilingual educational resources in six languages.
If you are a medical software developer dealing with low patient engagement in surgical planning — this project developed the CINDERELLA APP that uses biometric matching to show realistic visual outcomes. This increases patient satisfaction and reduces the risk of psychological distress.
If you are a private oncology clinic dealing with high rates of revision surgeries due to aesthetic disappointment — this project developed an AI-based image matching tool that aligns patient expectations with reality. This can reduce the number of corrective procedures and improve quality of life.
If you are a surgical planning tool manufacturer dealing with a lack of patient-centric decision tools — this project developed a cloud-based platform integrated with the BreLo-AI algorithm. This allows for evidence-based clinical decisions based on individual patient factors like age and body habitus.
Based on available project data, there is no specific pricing or cost model mentioned for the end-user or clinic.
Yes, the project objective states that the CINDERELLA APProach could serve as a model for other locoregional treatments where aesthetics affect quality of life.
Based on available project data, the IP owner is not specified, though the project is coordinated by Fundacao D. Anna de Sommer Champalimaud.
The tool is integrated into CANKADO, a cloud-based healthcare platform, and is designed to be used on any electronic device.
The project period runs from 2022-06-01 to 2026-11-30, with the first 36 months focused on APP development and the launch of the clinical trial.
The consortium is well-balanced for a clinical translation project, consisting of 11 partners across 5 countries. With a 27% industry ratio (3 companies), there is a clear path toward commercialization, while the 8 academic and research partners ensure scientific validity. The presence of an SME suggests a focus on agile development and market entry.
Contact Fundacao D. Anna de Sommer Champalimaud in Portugal
Contact us to explore licensing opportunities for the BreLo-AI algorithm.
