CLASSICA

🇪🇺 CLASSICA | Validating AI in Classifying Cancer in Real-Time Surgery

💡 Five leading cancer surgery centres across Europe will treat 500 patients during the project.

Check out our website to learn more
👉 classicaproject.eu

#HorizonEU #classica #ai #colorectal #cancer

📣 Interested in seeing CLASSICA's platform in action?

📹 Check out our new educational video from project partners @ucddublin, @IrcadFrance and Arctur.

Prof @RonanCahill15 (University College Dublin), Prof John Burke (Beaumont University Hospital), Ed Murphy (University College Dublin) and @samo_erzen (Arctur) share how CLASSICA ‘s next-generation AI platform can enhance detection of cancer in real-time in surgical settings.

classicaproject.eu/2026/09/classi…

📹 Check out our new promotional video from project partners @ucddublin and @IrcadFrance!

The video showcases the main elements of the CLASSICA project. CLASSICA transforms fluoresecence imaging into real-time clinical intelligence that can be used in operating rooms to improve colorectal cancer treatment decisions. The innovative Artificial Intelligence tool developed by the project is now under multi-centre clinical evaluation.

classicaproject.eu/2026/09/classi…

CLASSICA clinical partner Prof. Felix Aigner @FelixAigner2 was at the European Federation for Colorectcal Cancer’s 14th EFR Congress 2026 in Vienna last week. The EFR Congress serves as a central meeting point for experts in surgery, oncology, and gastroenterology. The theme of the congress this year was ‘Beyond Boundaries: From Microbiome Research to Robotic Surgery in Rectal Cancer’. The event hosted more than 100 participants joined by 40 speakers over 3 days.

Prof Aigner spoke about ‘Transanal Surgery for Rectal Cancer: From Basic Techniques to Artificial Intelligence’ and highlighted the CLASSICA project.

📚 Knowledge Unwrapped: 🇪🇺 CLASSICA project's publication lay summary series looks at the latest paper from the team!

A recent CLASSICA paper, Privacy Considerations of Artificial Intelligence Scribes, in NEJM AI examined how Artificial Intelligence (AI) scribes handle, store, and destroy data acquired during a patient encounter.

Authors Dr Sara Gerke and Prof David A. Simon made recommendations for hospitals to consider when adopting these tools, including training procurement teams, disclosing and obtaining consent for use of AI scribes, and developing data governance policies.

Read our capsule summary of the publication here 👉🏽
classicaproject.eu/2026/06/knowle…