AI-ready Healthcare

90 Episodes

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 17/08/2021