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CLASSICA Validating AI in Classifying Cancer in Real-Time Surgery

Keywords: Artificial Intelligence (AI), Cancer, Clinical Data, Training
Owner
CLASSICA project
Type
Digital solution and service (e.g. application/digital health portal/platform/AI based system/etc.)
Short description
CLASSICA is an EU-funded project looking at how to deploy cancer classification AI technology in the operating theatre. We will clinically validate a novel AI-guided intraoperative decision-support technology across several clinics, surgical teams, and countries. Our technology will differentiate between cancerous and non-cancerous tissues in real-time. Colorectal cancer is the third most common cancer type globally and the second most common cause of cancer death, leading to almost one million deaths annually. In CLASSICA, we transform a research prototype for classifying colorectal cancer tissue into a tool that will be used by surgeons in the operating theatre. The aim of the technology is to deliver decision-making support for cancer surgeons across Europe. In addition, we will establish clinical, legal, and ethical precedent for AI support in surgical operations. CLASSICA builds on breakthrough research in the AI analysis of fluorescence and perfusion in cancer tissues. The technology will differentiate between cancerous and non-cancerous tissues in real-time.
Evidence
Impact on health outcomes
Maturity
There is evidence for economic viability and/or of benefits to the target group of the practice. Further research/development is needed for routine use.
Countries
Austria
Belgium
Denmark
France
Ireland
Italy
Netherlands
Slovenia
Other (please specify in free text box below)
US
Geographical scope
International
Language(s)
English, Italian, Dutch, German
Comment
Five leading cancer surgery centres across Europe will treat 500 patients.
Submitted in other database or repository of digital health resources that is publicly available
https://zenodo.org/communities/classica, CLASSICA Zenodo community

Additional information

Relations
to clinicians / care practitioners
Clinical decision support
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Other (please define below)
AI decision-support during surgery
to patients / citizens
Health data analytics (Artificial Intelligence/algorithm development and calibration/machine learning/risk stratification tools/etc.)
Primary target patient group (age)
Adults (25-64), Older adults (65+)
Use case and care pathway positioning
Clinical trial data collection
Ready to be transferred to
Ready for transfer, but the practice has not been transferred yet.
Plans for cross-border implementation
Implemented and deployed cross-border