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Integration of artificial intelligence in cancer screening programmes
Summary
1. Through a series of online workshops involving some of the leading clinicians using AI in breast cancer screening practice and observing best practice, we will collect experiences and create a knowledge base
on how AI influence the clinical practice.
2. Through user engagement, the knowledge base will be used to create guidelines and practical tools supporting easier validation and implementation of AI in breast cancer screening across Europe, created and tested as part of the training in WP11.
3. Based on the insights from the above tasks and work on the MAS-AI model in WP4 and WP10, a set of recommendations will be developed to address the effect and accuracy of AI solutions (a) for improved patient outcomes and support for decision makers regarding acquisition of commercial solutions and (b) for breast cancer screening and how they can be utilized in cervical and colorectal screening.
This task will be led by RSYD, Denmark.
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Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency (HADEA). Neither the European Union nor HADEA can be held responsible for them.
The general objective of EUCanScreen is to assure sustainable implementation of high-quality screening for breast, cervical and colorectal cancers, as well as implementation of the recently recommended screening programs – for lung, prostate and gastric cancers. EUCanScreen will facilitate the reduction of cancer burden and achieving equity across the EU.
This project has received funding from the European Union’s EU4HEALTH Programme under the Grant Agreement no 101162959
