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  • Mohamed Omar on pathology and generative AI

    Mohamed Omar on pathology and generative AI
    2024/08/27

    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.

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

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    18 分
  • Judith Bonnes on detecting cardiac arrest using wearable technology

    Judith Bonnes on detecting cardiac arrest using wearable technology
    2024/03/07

    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 分
  • Andrew Soltan on federated learning systems

    Andrew Soltan on federated learning systems
    2024/01/24

    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 分
  • Mamatha Bhat on deep learning for predicting liver graft fibrosis

    Mamatha Bhat on deep learning for predicting liver graft fibrosis
    2023/05/23

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

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

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    20 分
  • Xiao Liu on AI-based clinical research studies

    Xiao Liu on AI-based clinical research studies
    2023/03/21

    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 分
  • Ashleigh Myall on predicting hospital-onset COVID-19 infections

    Ashleigh Myall on predicting hospital-onset COVID-19 infections
    2022/07/19

    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.

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    Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact

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    19 分
  • Reading race

    Reading race
    2022/05/11

    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 分
  • Caroline Figueroa on the need for feminist intersectionality in digital health

    Caroline Figueroa on the need for feminist intersectionality in digital health
    2021/07/26

    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.

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

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    13 分