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This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in heal
...
th care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.
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TArtificial intelligence (AI) is transforming health systems, reshaping how care is planned, delivered and governed. This report presents the first assessment of AI integration into health systems across the whole of the WHO European Region, based on findings from the 2024–2025 survey on AI for he
...
alth care. It examines national strategies, governance models, legal and ethical frameworks, workforce readiness, data governance, stakeholder engagement, private sector roles and the uptake of AI applications. Drawing on insights from 50 Member States, the report explores how countries are navigating opportunities and challenges, highlighting emerging trends, gaps and practices to guide policy-makers towards coherent, ethical and people-centred approaches to AI in health care.
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Basic psychosocial support skills are at the core of any Mental Health and PsychosocialSupport (MHPSS) intervention. Such skills are also indispensable for many others involvedin the COVID-19 response, whether they identify as an MHPSS provider or not. Thus, this guide is meant for all COVID-19 resp
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onders.
It is available in different languages: English, French, Spanish, Arabic, Amharic, Greek, Chinese, Bahasa Indonesia, Russian
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