90 Episodio

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

    Pubblicato: 26/07/2022
  2. Lena Maier-Hein: What does it mean to win a Biomedical Challenge?

    Pubblicato: 12/04/2022
  3. Russ Taylor: The role of AI in Robotic Surgery

    Pubblicato: 05/04/2022
  4. Ilker Hacihaliloglu: Ultrasound for all

    Pubblicato: 29/03/2022
  5. Frank Xu: Baidu's AI, WHO's Digital Health & other stories

    Pubblicato: 22/03/2022
  6. Lorenzo Righetto: Publishing MICCAI research into Nature Communications

    Pubblicato: 15/03/2022
  7. Karsten Ridder: Communication is key for AI-ready Healthcare

    Pubblicato: 08/03/2022
  8. Shuo Li: Will MICCAI 2022 be virtual?

    Pubblicato: 01/03/2022
  9. Julia Schnabel: MICCAI goes to Africa

    Pubblicato: 07/12/2021
  10. Anant Madabhushi: When MICCAI scientist meets Real Clinicians

    Pubblicato: 30/11/2021
  11. Leo Joskowicz: Shaping up AI and MICCAI

    Pubblicato: 23/11/2021
  12. Dan Stoyanov: Surgical Data Science 101

    Pubblicato: 16/11/2021
  13. John Mongan: To buy or not to buy radiology AI

    Pubblicato: 09/11/2021
  14. Qi Dou: Federated Learning for radiology

    Pubblicato: 02/11/2021
  15. Andreas Maier: Known operator learning for medical imaging

    Pubblicato: 26/10/2021
  16. Alex Frangi: Unlocking In-silico clinical trials

    Pubblicato: 14/09/2021
  17. Yuri Tolkach: Silent Failures of Deep Digital Pathology

    Pubblicato: 07/09/2021
  18. Marius Linguraru: Making babies fitter - within MICCAI and beyond

    Pubblicato: 31/08/2021
  19. Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!

    Pubblicato: 24/08/2021
  20. Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist

    Pubblicato: 17/08/2021

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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