• Mohamed Omar on pathology and generative AI
    Aug 27 2024

    Mohamed Omar joins The Lancet Digital Health to discuss pathology and generative AI from a Digital Health Perspective. We explore expert journeys, AI applications in diagnostics, GPT-4's role, integration challenges, ethical considerations, democratisation of knowledge, and future advancements in the field.

    Read the full article:
    https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig

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    18 mins
  • Judith Bonnes on detecting cardiac arrest using wearable technology
    Mar 7 2024

    Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.

    Read the full article:
    https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig

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    17 mins
  • Andrew Soltan on federated learning systems
    Jan 24 2024

    Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups.

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    14 mins
  • Mamatha Bhat on deep learning for predicting liver graft fibrosis
    May 23 2023

    Dr Mamatha Bhat joins Dr Lucy Dunbar to discuss the development of deep learning algorithms in predicting risk of significant fibrosis after liver transplantation.

    Read the full article:
    https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig

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    20 mins
  • Xiao Liu on AI-based clinical research studies
    Mar 21 2023

    Xiao Liu joins Diana Samuel to discuss how to improve the reporting of artificial intelligence-based clinical research studies and the representativeness of health datasets.

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    22 mins
  • Ashleigh Myall on predicting hospital-onset COVID-19 infections
    Jul 19 2022

    Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.

    Read the full article:
    Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact

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    19 mins
  • Reading race
    May 11 2022

    Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data.

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    32 mins
  • Caroline Figueroa on the need for feminist intersectionality in digital health
    Jul 26 2021

    Dr Caroline Figueroa and Dr Rupa Sarkar talk about the social and economic fallout from COVID-19 which has further exacerbated gender inequities and the need for a feminist outlook in digital health.

    Read the full article:
    https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext

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    13 mins