AI-ready Healthcare

80 Episodes

1. Leo Joskowicz: Shaping up AI and MICCAI

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

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

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

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

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

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

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

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

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

    Published: 17/08/2021
11. Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging

    Published: 10/08/2021
12. Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!

    Published: 03/08/2021
13. Terry Peters: Beware of the nasty surprises from healthcare AI

    Published: 15/06/2021
14. Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI

    Published: 08/06/2021
15. Saif Afat: Does global radiology need AI?

    Published: 01/06/2021
16. Andreas Bucher: Why a German Radiologist should care about AI?

    Published: 25/05/2021
17. Bernhard Dorweiler: Intelligent training of Vascular Surgeons

    Published: 18/05/2021
18. Sandy Engelhardt: Heart bits

    Published: 11/05/2021
19. Tianming Liu: Cross-talk between Neuroimaging and Neural Networks

    Published: 05/05/2021
20. Intro AI-ready Healthcare

    Published: 31/03/2021