AI-ready Healthcare

85 Episodo

1. Lorenzo Righetto: Publishing MICCAI research into Nature Communications

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

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

   Publicado: 1/3/2022
4. Julia Schnabel: MICCAI goes to Africa

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

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

   Publicado: 23/11/2021
7. Dan Stoyanov: Surgical Data Science 101

   Publicado: 16/11/2021
8. John Mongan: To buy or not to buy radiology AI

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

   Publicado: 2/11/2021
10. Andreas Maier: Known operator learning for medical imaging

    Publicado: 26/10/2021
11. Alex Frangi: Unlocking In-silico clinical trials

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

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

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

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

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

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

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

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

    Publicado: 8/6/2021
20. Saif Afat: Does global radiology need AI?

    Publicado: 1/6/2021