The Lancet Digital Health in conversation with

PODCAST · health

The Lancet Digital Health in conversation with

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. 16

    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

  2. 15

    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

  3. 14

    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

  4. 13

    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

  5. 12

    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

  6. 11

    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

  7. 10

    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

  8. 9

    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

  9. 8

    Ashleigh Myall on predicting hospital-onset COVID-19 infections

    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 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

  10. 7

    Reading race

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

  11. 6

    Caroline Figueroa on the need for feminist intersectionality in digital health

    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 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

  12. 5

    Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer

    Mihaela van der Schaar and Vincent J Gnanapragasam join Diana Samuel to discuss a new machine learning-based prognostic model for prediction of 10-year mortality from non-metastatic prostate cancer. Read full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext 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

  13. 4

    Vence Bonham on diversity and impact in genomic research

    Vence Bonham joins Diana Samuel to discuss the impact of genomics and precision medicine on health disparities, and the need for greater diversity in genomic research studies. 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. 3

    Deepti Gurdasani on health data, AI, and COVID-19

    Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19. 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

  15. 2

    Maimuna S Majumder on COVID-19 misinformation online

    Maimuna S Majumder joins Diana Samuel to discuss how misinformation on COVID-19 can influence the public’s online search interests, and the potential impact this can have on their health. 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

  16. 1

    Sara Gerke and Timo Minssen on AI in healthcare

    Sara Gerke and Timo Minssen join Diana Samuel to discuss the European Commission’s white paper on artificial intelligence (published in February 2020), and the challenges of implementing the outlined approach in healthcare. 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

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ABOUT THIS SHOW

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.

HOSTED BY

The Lancet Group

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