AI-ready Healthcare
Podcast autorstwa Anirban Mukhopadhyay, Henry Krumb - Wtorki
79 Odcinki
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Dan Stoyanov: Surgical Data Science 101
Opublikowany: 16.11.2021 -
John Mongan: To buy or not to buy radiology AI
Opublikowany: 9.11.2021 -
Qi Dou: Federated Learning for radiology
Opublikowany: 2.11.2021 -
Andreas Maier: Known operator learning for medical imaging
Opublikowany: 26.10.2021 -
Alex Frangi: Unlocking In-silico clinical trials
Opublikowany: 14.09.2021 -
Yuri Tolkach: Silent Failures of Deep Digital Pathology
Opublikowany: 7.09.2021 -
Marius Linguraru: Making babies fitter - within MICCAI and beyond
Opublikowany: 31.08.2021 -
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
Opublikowany: 24.08.2021 -
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
Opublikowany: 17.08.2021 -
Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging
Opublikowany: 10.08.2021 -
Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!
Opublikowany: 3.08.2021 -
Terry Peters: Beware of the nasty surprises from healthcare AI
Opublikowany: 15.06.2021 -
Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI
Opublikowany: 8.06.2021 -
Saif Afat: Does global radiology need AI?
Opublikowany: 1.06.2021 -
Andreas Bucher: Why a German Radiologist should care about AI?
Opublikowany: 25.05.2021 -
Bernhard Dorweiler: Intelligent training of Vascular Surgeons
Opublikowany: 18.05.2021 -
Sandy Engelhardt: Heart bits
Opublikowany: 11.05.2021 -
Tianming Liu: Cross-talk between Neuroimaging and Neural Networks
Opublikowany: 5.05.2021 -
Intro AI-ready Healthcare
Opublikowany: 31.03.2021
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.
