31 Episodo

  1. Hugo Aerts and Ray Mak on FaceAge

    Publicado: 8/5/2025

  2. Mohamed Omar on pathology and generative AI

    Publicado: 27/8/2024

  3. Judith Bonnes on detecting cardiac arrest using wearable technology

    Publicado: 7/3/2024

  4. Andrew Soltan on federated learning systems

    Publicado: 24/1/2024

  5. Mamatha Bhat on deep learning for predicting liver graft fibrosis

    Publicado: 23/5/2023

  6. Xiao Liu on AI-based clinical research studies

    Publicado: 21/3/2023

  7. Ashleigh Myall on predicting hospital-onset COVID-19 infections

    Publicado: 19/7/2022

  8. Reading race

    Publicado: 11/5/2022

  9. Caroline Figueroa on the need for feminist intersectionality in digital health

    Publicado: 26/7/2021

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

    Publicado: 15/2/2021

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

    Publicado: 2/12/2020

  12. Vence Bonham on diversity and impact in genomic research

    Publicado: 2/12/2020

  13. Maimuna S Majumder on COVID-19 misinformation online

    Publicado: 26/10/2020

  14. Sara Gerke and Timo Minssen on AI in healthcare

    Publicado: 23/6/2020

  15. Identifying and measuring brain lesions in patients with traumatic brain injury

    Publicado: 14/5/2020

  16. The Lancet Digital Health turns one

    Publicado: 29/4/2020

  17. A real-time dashboard of clinical trials for COVID-19

    Publicado: 24/4/2020

  18. Opportunistic value of fully automated CT-based biomarkers

    Publicado: 4/3/2020

  19. Predicting the added benefit of adjuvant chemotherapy

    Publicado: 19/2/2020

  20. Using Fitbit data to predict flu outbreaks

    Publicado: 16/1/2020

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Rupa Sarkar, Editor-in-Chief, Diana Samuel, Deputy Editor, Lucy Dunbar, Senior Editor, and Gustavo Monnerat, Senior Editor at The Lancet Digital Health, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, healthcare, 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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