90 Epizód

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

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

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

    Közzétéve: 2022. 04. 05.
  4. Ilker Hacihaliloglu: Ultrasound for all

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Közzétéve: 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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