Professor Claudia Pagliari

The University of Edinburgh
Director of Global eHealth

Dr Pagliari is Director of Global eHealth at the University of Edinburgh, where she leads interdisciplinary research and master''s; programmes in digital health and co-leads the NHS Digital Academy. Her research spans a wide portfolio of topics in digital and data-driven research, healthcare, policy and ethics, including innovations in consumer digital health, big data and AI. In 2019 she was appointed as a World Health Organisation Expert in Digital Health and in 2020 as the chair of a national expert group in Digital Ethics for the Scottish Government. She is co-editor for PLOS (Digital Health) and the Journal of Medical Internet Research (Medical Informatics).

dont miss

Realistic AI - Understanding Potential in Context

Pundits are forecasting an ''AI Winter'', as hype gives way to experience, but optimism about the potential of AI in health continues to bloom. This seminar considers the complexity of healthcare and different use cases in which AI could be applied, to illustrate how context, culture, data and evidence affect its potential to yield value for stakeholders. It aims to encourage more realistic AI thinking, for optimising both quality and sustainability.

EVEN MORE SEMINARS

  • Graham King: Speaking at the AI and Machine Learning Convention

    Graham King
    DesAcc EMEA Ltd

    Artificial Intelligence : Overcoming the data challenge

  • Dr Matthew Prime: Speaking at the AI and Machine Learning Convention

    Dr Matthew Prime
    Roche Diagnostics Information Solutions

    Personalized healthcare: Leveraging data to improve patient care through clinical decision support in oncology

  • Dr Phil Koczan: Speaking at the AI and Machine Learning Convention

    Dr Phil Koczan
    NHS England

    Assessing the application of Artificial Intelligence and its use in the NHS

  • Dr Sue Astley : Speaking at the AI and Machine Learning Convention

    Dr Sue Astley
    University of Manchester

    Deep Learning for Breast Density Assessment and Risk Prediction

  • Sami Blom: Speaking at the AI and Machine Learning Convention

    Sami Blom
    Aiforia Technologies

    Aiforia - Deep Learning image analysis without the need of coding