H2020Индивидуална стипендия2021–2023

ACCEPT · Artificial Intelligence in Colonoscopy for Cancer Prevention

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2021-06-01 → 2023-09-23
Финансиране от ЕС: 214 159 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Изкуственият интелект помага за по-точното откриване на предракови полипи по време на колоноскопия. Това е важно, за да се разбере дали новата технология действително намалява заболеваемостта и смъртността от рак на дебелото черво.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Artificial Intelligence in Colonoscopy for Cancer Prevention

Removal of precancerous polyps (so-called adenomas) during colonoscopy reduces colorectal cancer incidence and mortality. We recently developed artificial intelligence (AI) systems which optimise colonoscopy quality by aiming at increasing the detection of adenomas. However, it was unknown if this benefit of AI translated into improved cancer prevention. The overarching goal of the present project was to uncover the value of AI in colorectal cancer prevention. To achieve this goal, we conducted microsimulation modelling with use of most reliable real-world data and established an infrastructure and conducted a pilot for a large-scale randomized controlled trial with colorectal cancer incidence and mortality as an endpoint.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Removal precancerous polyps (so-called adenomas) during colonoscopy reduces colorectal cancer incidence and mortality. We have recently developed artificial intelligence (AI) systems which optimise colonoscopy quality by aiming at increasing the detection of adenomas. However, it is unknown if this benefit of AI translates into improved cancer prevention. To establish the role of AI in colorectal cancer prevention, we here propose a three-step research portfolio targeting individuals in the national colorectal cancer screening programmes in Norway and Poland. 1) A 1-year observational study to clarify the superiority of AI in adenoma detection in the average-risk population. 2) A cost-effectiveness analysis for cancer prevention, using real-world data obtained from the part 1 study. 3) Establishment of an infrastructure for long-term (10 years) follow-up of 40,000 individuals to quantify the effect of AI on colorectal cancer incidence. We use propensity score matching to balance the background characteristics of the two comparing arms; AI-assisted colonoscopy and standard colonoscopy. Participants are followed through national cancer registries for ten years after cancer screening. Our project is the first of its kind and made possible by the unique collaboration of world-class environments in clinical epidemiology and medical device assessment with world-leading AI developers. The project will enable evidence-based implementation of AI technologies into nationwide cancer screening programmes in Europe and the world. The project’s achievement will be maximised through detailed plans for training, monitoring, management, exploitation, dissemination, and communication. While adding essential competence to the host institution, this project will increase the applicant’s skill, especially in epidemiologic aspects, helping him obtain an independent academic position in translational research of AI for medicine.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITETET I OSLO · OsloКоординаторНорвегия