The action is expected to:
a) create communities of experts with knowledge and experience on AI deployment in clinical settings;
b) identify challenges and accelerators of the safe and effective deployment of AI in clinical practice;
c) develop good AI deployment practices (e.g., appropriate incorporation of AI in clinical practice, ethics, etc.), guidelines and recommendations to speed up the safe and effective deployment of AI in health;
d) test and evaluate through pilot projects how good deployment practices, guidelines and recommendations benefit diverse environments and diverse populations (e.g., metropolitan and rural hospitals). As part of the pilots, to analyse how clinical practice is changing with the incorporation of AI systems;
e) expand knowledge on AI uses in medicine and develop trust on AI by both healthcare professionals and public including patients;
f) prepare healthcare systems for full-sale application of AI;
g) educate relevant actors (e.g., healthcare professionals, hospital managers, AI developers, patients) on the best use and practices of AI deployment in healthcare;
h) educate individuals including patients on AI uses for diagnosis, treatment and management of patients;
i) provide a reference interactive digital tool to collect and communicate best AI deployment practices in healthcare and foster collaborations and communities; and
j) inform policy makers on the best way
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