AI-ready Healthcare

87 Episodes

1. Ilker Hacihaliloglu: Ultrasound for all

   Published: 3/29/2022
2. Frank Xu: Baidu's AI, WHO's Digital Health & other stories

   Published: 3/22/2022
3. Lorenzo Righetto: Publishing MICCAI research into Nature Communications

   Published: 3/15/2022
4. Karsten Ridder: Communication is key for AI-ready Healthcare

   Published: 3/8/2022
5. Shuo Li: Will MICCAI 2022 be virtual?

   Published: 3/1/2022
6. Julia Schnabel: MICCAI goes to Africa

   Published: 12/7/2021
7. Anant Madabhushi: When MICCAI scientist meets Real Clinicians

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

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

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

    Published: 11/9/2021
11. Qi Dou: Federated Learning for radiology

    Published: 11/2/2021
12. Andreas Maier: Known operator learning for medical imaging

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

    Published: 9/14/2021
14. Yuri Tolkach: Silent Failures of Deep Digital Pathology

    Published: 9/7/2021
15. Marius Linguraru: Making babies fitter - within MICCAI and beyond

    Published: 8/31/2021
16. Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!

    Published: 8/24/2021
17. Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist

    Published: 8/17/2021
18. Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging

    Published: 8/10/2021
19. Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!

    Published: 8/3/2021
20. Terry Peters: Beware of the nasty surprises from healthcare AI

    Published: 6/15/2021