90 Avsnitt

  1. Stephen Aylward: The case of Open-source software

    Publicerades: 2022-07-26

  2. Lena Maier-Hein: What does it mean to win a Biomedical Challenge?

    Publicerades: 2022-04-12

  3. Russ Taylor: The role of AI in Robotic Surgery

    Publicerades: 2022-04-05

  4. Ilker Hacihaliloglu: Ultrasound for all

    Publicerades: 2022-03-29

  5. Frank Xu: Baidu's AI, WHO's Digital Health & other stories

    Publicerades: 2022-03-22

  6. Lorenzo Righetto: Publishing MICCAI research into Nature Communications

    Publicerades: 2022-03-15

  7. Karsten Ridder: Communication is key for AI-ready Healthcare

    Publicerades: 2022-03-08

  8. Shuo Li: Will MICCAI 2022 be virtual?

    Publicerades: 2022-03-01

  9. Julia Schnabel: MICCAI goes to Africa

    Publicerades: 2021-12-07

  10. Anant Madabhushi: When MICCAI scientist meets Real Clinicians

    Publicerades: 2021-11-30

  11. Leo Joskowicz: Shaping up AI and MICCAI

    Publicerades: 2021-11-23

  12. Dan Stoyanov: Surgical Data Science 101

    Publicerades: 2021-11-16

  13. John Mongan: To buy or not to buy radiology AI

    Publicerades: 2021-11-09

  14. Qi Dou: Federated Learning for radiology

    Publicerades: 2021-11-02

  15. Andreas Maier: Known operator learning for medical imaging

    Publicerades: 2021-10-26

  16. Alex Frangi: Unlocking In-silico clinical trials

    Publicerades: 2021-09-14

  17. Yuri Tolkach: Silent Failures of Deep Digital Pathology

    Publicerades: 2021-09-07

  18. Marius Linguraru: Making babies fitter - within MICCAI and beyond

    Publicerades: 2021-08-31

  19. Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!

    Publicerades: 2021-08-24

  20. Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist

    Publicerades: 2021-08-17

4 / 5

Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready. I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.

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