SOURCE-LINKED INTELLIGENCE
Clinical Validation of an AI-based approach to improve the shared decision-making process and outcomes in Breast Cancer Patients proposed for Locoregional treatment
same surgery, the aesthetic outcome could be completely different based on individual patient's factors (e.g, age, body habitus). In the CINDERELLA project, we will be using the BreLO AI system (an artificial intelligence-based tool for classification of aesthetic outcomes and matching data and photographs) integrated in CANKADO (a cloud-based healthcare platform) to create an easy-to-use application that can be used on any electronic device, to simulate visually to the patient the aesthetic outcome of a certain surgery. The CINDERELLA APProach is unique as it uses a clinical database and performs biometric matching, to create images that simulate to the patient the outcome of surgery. In the CINDERELLA trial (running during the project) we plan to compare if the application helped to fulfil the expectation and lead to a better quality of life. By feeding new clinical and photographic information to the CINDERELLA APProach after surgery, the artificial intelligence platform will be able to improve for the next cases. This trial will be practice-changing in the field of patient edu
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 5378299
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T00:21:03.701Z. This is not the publication date.