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Health care professionals and AI: Adapt or be left behind

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Health care professionals and AI: Adapt or be left behind

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medicine, healthcare, pediatry and people concept - happy doctor showing tablet computer to father with baby daughter at medical office in hospital
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Health care professionals and AI: Adapt or be left behind

medicine, healthcare, pediatry and people concept - happy doctor showing tablet computer to father with baby daughter at medical office in hospital

This webinar explores the transition from traditional evidence-based medicine (EBM) to Next Generation EBM enhanced by artificial intelligence (AI) and machine learning. Presented by Prof. Hania Szajewska, Chair of Paediatrics at the Medical University of Warsaw, the session highlights the growing importance of AI literacy in clinical settings.

Key topics include the value of understanding foundational AI and machine learning concepts, the impact of AI on diagnostics and treatment planning, and the role of digital tools in improving care outcomes and healthcare efficiency. The content underscores the competitive edge gained by adopting AI-supported practices in modern medicine.

Continue watching:

Part 2: An image recognition algorithm that estimates length/height and weight of infant

Part 3: Machine learning and stool consistency: a tale of scales

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Health care professionals and AI: Adapt or be left behind

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Health care professionals and AI: Adapt or be left behind

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