The CINDERELLA project essentially consists in transferring all the information about every possible type of breast surgery and all the quality-of-life questionnaires to a health web-based platform (also available as an Android and Apple app).
This platform will link with a large image repository of previous photographs with an Artificial Intelligence (AI) algorithm able to categorize the cases from excellent to poor.
After the creation of this online structure, a large clinical trial will be conducted in 5 countries to compare the level of patient aesthetic satisfaction when the choice of surgery type will be merely based on the surgeons explanation and some available additional material (conventional approach) or the use of the created app linked to the AI tool that will be able to find within the images the ones that resemble more the actual patient submitted to the proposed intervention.
Patient’s expectations will hopefully be better matched with this new approach.
For that, patients who are to be submitted to breast surgery at the 5 health institutions participating in the study – Champalimaud Foundation in Lisbon, Portugal; San Raffaele Hospital in Milan, Italy; Heidelberg University Hospital in Heidelberg, Germany; Gdansk University Hospital in Gdansk, Poland; and the Tel Hashomer Medical Centre Sheba, near Tel Aviv in Israel – will previously be randomly divided into two groups, each using one of the two procedures.


  • 1 - Use an Existing the BreLO-AI system

    Use an Existing the BreLO-AI system (data and images) to evaluate the aesthetical outcome of locoregional treatment in the individual patient to predict results according to previous comparable cases, leading to an improved shared decision-making process, that will translate into a better match of expectations (before and after treatment) and a higher satisfaction with the outcome.

  • 2 - Establish a routine digital approach

    Establish a routine digital approach of patients proposed for locoregional treatment through a more home based, less costly and environment friendly solution, a cloud-based healthcare platform (CANKADO) that will lead to more reproducible attitudes and decisions among different centres.

  • 3 - Develop a data-friendly and AI-friendly culture

    Develop a data-friendly and AI-friendly culture in both professionals and patients improving the understanding of the role of AI and good quality data play in improving cutting-edge healthcare.


I was devastated when I saw the result of the surgery of one of my best friends. I always thought I was very lucky because I managed to kept my breast and quite frankly, I thought my breasts look great after the operation. But then I looked at my friend and I almost cried. If she didn’t told me, I would never had guessed which breast has been the one submitted to surgery.
Now when I look at me, I know that the result is not what I thought and I wish I had the opportunity to knew it before

Ana Paula Ferreira


This project has received funding from the European Union's Horizon Europe research and innovation programme under Grant Agreement number 101057389