SOURCE-LINKED INTELLIGENCE

OPTIMISING COLORECTAL CANCER PREVENTION TROUGH PERSONALISED TREATMENT WITH ARTIFICIAL INTELLIGENCE

CORDIS · observation · Publication date unknown

OPTIMISING COLORECTAL CANCER PREVENTION TROUGH PERSONALISED TREATMENT WITH ARTIFICIAL INTELLIGENCE Integration of artificial intelligence (AI) technologies into clinical medicine has been hampered by challenges related to uncertain long-term clinical benefits, cost-effectiveness, and ethics/legal concerns. Application of AI in colonoscopy, a forefront research topic, has been also bothered by these issues. AI is, however, expected to reduce colorectal cancer incidence and mortality through personalised treatment. Our proposed project would change this discouraging situation and thus drastically improves colorectal cancer care. We achieve the following goals: 1. Establish the value of AI-assisted colonoscopy in colorectal cancer prevention by conducting a pan-European, population-based, randomised trial with 222,000 participants. 2. Develop a colonoscopy AI risk-prediction tool for personalized treatment of colorectal polyps and cancer. 3. De

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recordType

award

status

SIGNED

region

EU

value

4674996

unit

EUR