AI-ready Healthcare
A podcast by Anirban Mukhopadhyay, Henry Krumb
78 Episodio
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John Mongan: To buy or not to buy radiology AI
Pubblicato: 9/11/2021 -
Qi Dou: Federated Learning for radiology
Pubblicato: 2/11/2021 -
Andreas Maier: Known operator learning for medical imaging
Pubblicato: 26/10/2021 -
Alex Frangi: Unlocking In-silico clinical trials
Pubblicato: 14/9/2021 -
Yuri Tolkach: Silent Failures of Deep Digital Pathology
Pubblicato: 7/9/2021 -
Marius Linguraru: Making babies fitter - within MICCAI and beyond
Pubblicato: 31/8/2021 -
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
Pubblicato: 24/8/2021 -
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
Pubblicato: 17/8/2021 -
Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging
Pubblicato: 10/8/2021 -
Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!
Pubblicato: 3/8/2021 -
Terry Peters: Beware of the nasty surprises from healthcare AI
Pubblicato: 15/6/2021 -
Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI
Pubblicato: 8/6/2021 -
Saif Afat: Does global radiology need AI?
Pubblicato: 1/6/2021 -
Andreas Bucher: Why a German Radiologist should care about AI?
Pubblicato: 25/5/2021 -
Bernhard Dorweiler: Intelligent training of Vascular Surgeons
Pubblicato: 18/5/2021 -
Sandy Engelhardt: Heart bits
Pubblicato: 11/5/2021 -
Tianming Liu: Cross-talk between Neuroimaging and Neural Networks
Pubblicato: 5/5/2021 -
Intro AI-ready Healthcare
Pubblicato: 31/3/2021
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.