AI-ready Healthcare
Un podcast de Anirban Mukhopadhyay, Henry Krumb - Les mardis
81 Épisodes
-
Anant Madabhushi: When MICCAI scientist meets Real Clinicians
Publié: 30/11/2021 -
Leo Joskowicz: Shaping up AI and MICCAI
Publié: 23/11/2021 -
Dan Stoyanov: Surgical Data Science 101
Publié: 16/11/2021 -
John Mongan: To buy or not to buy radiology AI
Publié: 09/11/2021 -
Qi Dou: Federated Learning for radiology
Publié: 02/11/2021 -
Andreas Maier: Known operator learning for medical imaging
Publié: 26/10/2021 -
Alex Frangi: Unlocking In-silico clinical trials
Publié: 14/09/2021 -
Yuri Tolkach: Silent Failures of Deep Digital Pathology
Publié: 07/09/2021 -
Marius Linguraru: Making babies fitter - within MICCAI and beyond
Publié: 31/08/2021 -
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
Publié: 24/08/2021 -
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
Publié: 17/08/2021 -
Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging
Publié: 10/08/2021 -
Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!
Publié: 03/08/2021 -
Terry Peters: Beware of the nasty surprises from healthcare AI
Publié: 15/06/2021 -
Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI
Publié: 08/06/2021 -
Saif Afat: Does global radiology need AI?
Publié: 01/06/2021 -
Andreas Bucher: Why a German Radiologist should care about AI?
Publié: 25/05/2021 -
Bernhard Dorweiler: Intelligent training of Vascular Surgeons
Publié: 18/05/2021 -
Sandy Engelhardt: Heart bits
Publié: 11/05/2021 -
Tianming Liu: Cross-talk between Neuroimaging and Neural Networks
Publié: 05/05/2021
Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready. I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.
