31 Avsnitt

  1. Hugo Aerts and Ray Mak on FaceAge

    Publicerades: 2025-05-08

  2. Mohamed Omar on pathology and generative AI

    Publicerades: 2024-08-27

  3. Judith Bonnes on detecting cardiac arrest using wearable technology

    Publicerades: 2024-03-07

  4. Andrew Soltan on federated learning systems

    Publicerades: 2024-01-24

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

    Publicerades: 2023-05-23

  6. Xiao Liu on AI-based clinical research studies

    Publicerades: 2023-03-21

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

    Publicerades: 2022-07-19

  8. Reading race

    Publicerades: 2022-05-11

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

    Publicerades: 2021-07-26

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

    Publicerades: 2021-02-15

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

    Publicerades: 2020-12-02

  12. Vence Bonham on diversity and impact in genomic research

    Publicerades: 2020-12-02

  13. Maimuna S Majumder on COVID-19 misinformation online

    Publicerades: 2020-10-26

  14. Sara Gerke and Timo Minssen on AI in healthcare

    Publicerades: 2020-06-23

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

    Publicerades: 2020-05-14

  16. The Lancet Digital Health turns one

    Publicerades: 2020-04-29

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

    Publicerades: 2020-04-24

  18. Opportunistic value of fully automated CT-based biomarkers

    Publicerades: 2020-03-04

  19. Predicting the added benefit of adjuvant chemotherapy

    Publicerades: 2020-02-19

  20. Using Fitbit data to predict flu outbreaks

    Publicerades: 2020-01-16

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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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