Slow AI is an initiative developed with Slow Medicine to support a thoughtful approach to the use of artificial intelligence in healthcare. It provides guidance for both the public and healthcare professionals, promoting the appropriate use of generative AI while helping to prevent misuse and overreliance on these technologies. [...]

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The AI-CHECK research project, conducted by Zadig, examined the strengths and limitations of artificial intelligence as a tool for healthcare professional education, with the aim of establishing evidence-based recommendations and best practices for its implementation. [...]

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The MetroMed project was created to support the evaluation of the reliability of online health information through the development of an artificial intelligence–based chatbot capable of analyzing and assessing health-related articles from URLs or user-provided text. [...]

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The AIREV study explores the association between air pollution and health outcomes, with the aim of developing and evaluating a scientific literature review process that relies wholly or partially on AI. [...]

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