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We argue for the importance of the understanding of the underlying machine epistemology in order to raise awareness of and facilitate realistic expectations from AI as a decision support system, both among healthcare professionals and the potential benefiters (patients). Understanding the epistemic abilities and limitations of such systems is essential if we are to integrate AI into the decision making processes in a way that takes into account its applicability boundaries. This will help to mitigate potential harm due to misjudgments and, as a result, to raise the trust\u2014understood here as a belief in reliability of\u2014in the AI system. We aim at a minimal requirement for AI meta-explanation which should distinguish machine epistemic processes from similar processes in human epistemology in order to avoid confusion and error in judgment and application. An informed approach to the integration of AI systems into the decision making for diagnostic purposes is crucial given its high impact on health and well-being of patients.<\/jats:p>","DOI":"10.1007\/s10676-022-09629-y","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T08:02:46Z","timestamp":1650355366000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Epistemo-ethical constraints on AI-human decision making for diagnostic purposes"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4899-8319","authenticated-orcid":false,"given":"Dina","family":"Babushkina","sequence":"first","affiliation":[]},{"given":"Athanasios","family":"Votsis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,19]]},"reference":[{"issue":"5","key":"9629_CR1","doi-asserted-by":"publisher","first-page":"522","DOI":"10.3390\/healthcare9050522","volume":"9","author":"YE Almalki","year":"2021","unstructured":"Almalki, Y. 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