AI-ready Healthcare
Een podcast door Anirban Mukhopadhyay, Henry Krumb - Dinsdagen
79 Afleveringen
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Dan Stoyanov: Surgical Data Science 101
Gepubliceerd: 16-11-2021 -
John Mongan: To buy or not to buy radiology AI
Gepubliceerd: 9-11-2021 -
Qi Dou: Federated Learning for radiology
Gepubliceerd: 2-11-2021 -
Andreas Maier: Known operator learning for medical imaging
Gepubliceerd: 26-10-2021 -
Alex Frangi: Unlocking In-silico clinical trials
Gepubliceerd: 14-9-2021 -
Yuri Tolkach: Silent Failures of Deep Digital Pathology
Gepubliceerd: 7-9-2021 -
Marius Linguraru: Making babies fitter - within MICCAI and beyond
Gepubliceerd: 31-8-2021 -
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
Gepubliceerd: 24-8-2021 -
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
Gepubliceerd: 17-8-2021 -
Michal Rosen-Zvi: Underwhelming maturity of Radiology AI in COVID-19 imaging
Gepubliceerd: 10-8-2021 -
Daniel Pinto dos Santos: Get your radiology report structured, have some ECLAIRS!
Gepubliceerd: 3-8-2021 -
Terry Peters: Beware of the nasty surprises from healthcare AI
Gepubliceerd: 15-6-2021 -
Ilkay Oksuz: AI gives a thumbs-up to Cardiac MRI
Gepubliceerd: 8-6-2021 -
Saif Afat: Does global radiology need AI?
Gepubliceerd: 1-6-2021 -
Andreas Bucher: Why a German Radiologist should care about AI?
Gepubliceerd: 25-5-2021 -
Bernhard Dorweiler: Intelligent training of Vascular Surgeons
Gepubliceerd: 18-5-2021 -
Sandy Engelhardt: Heart bits
Gepubliceerd: 11-5-2021 -
Tianming Liu: Cross-talk between Neuroimaging and Neural Networks
Gepubliceerd: 5-5-2021 -
Intro AI-ready Healthcare
Gepubliceerd: 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.