The Lancet Digital Health in conversation with

The Lancet Group
  • 4.0 (1)
  • Medicine
  • Every two months

The Lancet Digital Health editors, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, health care, and health policy. A monthly audio companion to this open access journal, this podcast covers a broad range of topics, from using machine learning to predict mortality in prostate cancer and the need for feminist intersectionality in digital health, to how algorithms can predict a patient's race from medical data, and more.

  1. 30 Apr

    Shaoxu Wu on panCAM (Mandarin Version)

    Dr Shaoxu Wu from Sun Yat-sen Memorial Hospital joins Dr Shangrong Han to discuss PanCAM, an AI pathology model that detects lymph-node metastasis across diverse cancers with robust performance. Click here to read the article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00143-8/fulltext

    22 min

  2. 17 Apr

    Shaoxu Wu on panCAM

    Dr Shaoxu Wu from Sun Yat-sen Memorial Hospital joins Dr Shangrong Han to discuss PanCAM, an AI pathology model that detects lymph-node metastasis across diverse cancers with robust performance. Click here to read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00143-8/fulltext

    18 min

  3. 08/05/2025

    Hugo Aerts and Ray Mak on FaceAge

    Hugo Aerts and Ray Mak from Mass General Brigham join Lucy Dunbar to discuss FaceAge, a deep learning tool that estimates biological age from simple face photographs, and its implications in aiding clinicians in predicting prognoses for people with cancer. Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv

    23 min

  4. 27/08/2024

    Mohamed Omar on pathology and generative AI

    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 Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv

    18 min

  5. 07/03/2024

    Judith Bonnes on detecting cardiac arrest using wearable technology

    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 Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv

    17 min

  6. 24/01/2024

    Andrew Soltan on federated learning systems

    Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv

    14 min

  7. 23/05/2023

    Mamatha Bhat on deep learning for predicting liver graft fibrosis

    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 Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv

    20 min

  8. 21/03/2023

    Xiao Liu on AI-based clinical research studies

    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. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv

    22 min
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About

The Lancet Digital Health editors, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, health care, and health policy. A monthly audio companion to this open access journal, this podcast covers a broad range of topics, from using machine learning to predict mortality in prostate cancer and the need for feminist intersectionality in digital health, to how algorithms can predict a patient's race from medical data, and more.

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