AI-ready Healthcare

79 Episodes

1. Dan Stoyanov: Surgical Data Science 101

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 5/5/2021
19. Intro AI-ready Healthcare

    Published: 3/31/2021