The Lancet Group
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.
Author
The Lancet Group
Category
Podcast website
Latest episode
Apr 30, 2026
Where to listen?
Podcasts in the app Replaio Radio Coming soonPodcasts are coming to the app soon. Install now and be the first to see a whole new take on podcasts
Episodes
Shaoxu Wu on panCAM (Mandarin Version) 30.04.2026 22:18
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
Shaoxu Wu on panCAM 17.04.2026 18:02
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
Hugo Aerts and Ray Mak on FaceAge 08.05.2025 22:30
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_01-05-2...
Mohamed Omar on pathology and generative AI 27.08.2024 18:24
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)0...
Judith Bonnes on detecting cardiac arrest using wearable technology 07.03.2024 17:22
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 conv...
Andrew Soltan on federated learning systems 24.01.2024 14:18
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
Mamatha Bhat on deep learning for predicting liver graft fibrosis 23.05.2023 20:16
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.so...
Xiao Liu on AI-based clinical research studies 21.03.2023 21:41
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://youtu...
Ashleigh Myall on predicting hospital-onset COVID-19 infections 19.07.2022 18:40
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 u...
Reading race 11.05.2022 31:41
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
Caroline Figueroa on the need for feminist intersectionality in digital health 26.07.2021 13:16
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/ h...
Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer 15.02.2021 20:44
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:/...
Deepti Gurdasani on health data, AI, and COVID-19 02.12.2020 24:28
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
Vence Bonham on diversity and impact in genomic research 02.12.2020 8:08
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://you...
Maimuna S Majumder on COVID-19 misinformation online 26.10.2020 7:08
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...
Sara Gerke and Timo Minssen on AI in healthcare 23.06.2020 24:28
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 htt...
Similar podcasts
Replaio is not a podcast publisher; show names, artwork and audio belong to their authors and are distributed through public RSS feeds.