AI-ready Healthcare

81 Episodes

1. Anant Madabhushi: When MICCAI scientist meets Real Clinicians

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 6/15/2021
15. Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI

    Published: 6/8/2021
16. Saif Afat: Does global radiology need AI?

    Published: 6/1/2021
17. Andreas Bucher: Why a German Radiologist should care about AI?

    Published: 5/25/2021
18. Bernhard Dorweiler: Intelligent training of Vascular Surgeons

    Published: 5/18/2021
19. Sandy Engelhardt: Heart bits

    Published: 5/11/2021
20. Tianming Liu: Cross-talk between Neuroimaging and Neural Networks

    Published: 5/5/2021