AI-ready Healthcare
Ein Podcast von Anirban Mukhopadhyay, Henry Krumb - Dienstags
90 Folgen
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Stephen Aylward: The case of Open-source software
Vom: 26.7.2022 -
Lena Maier-Hein: What does it mean to win a Biomedical Challenge?
Vom: 12.4.2022 -
Russ Taylor: The role of AI in Robotic Surgery
Vom: 5.4.2022 -
Ilker Hacihaliloglu: Ultrasound for all
Vom: 29.3.2022 -
Frank Xu: Baidu's AI, WHO's Digital Health & other stories
Vom: 22.3.2022 -
Lorenzo Righetto: Publishing MICCAI research into Nature Communications
Vom: 15.3.2022 -
Karsten Ridder: Communication is key for AI-ready Healthcare
Vom: 8.3.2022 -
Shuo Li: Will MICCAI 2022 be virtual?
Vom: 1.3.2022 -
Julia Schnabel: MICCAI goes to Africa
Vom: 7.12.2021 -
Anant Madabhushi: When MICCAI scientist meets Real Clinicians
Vom: 30.11.2021 -
Leo Joskowicz: Shaping up AI and MICCAI
Vom: 23.11.2021 -
Dan Stoyanov: Surgical Data Science 101
Vom: 16.11.2021 -
John Mongan: To buy or not to buy radiology AI
Vom: 9.11.2021 -
Qi Dou: Federated Learning for radiology
Vom: 2.11.2021 -
Andreas Maier: Known operator learning for medical imaging
Vom: 26.10.2021 -
Alex Frangi: Unlocking In-silico clinical trials
Vom: 14.9.2021 -
Yuri Tolkach: Silent Failures of Deep Digital Pathology
Vom: 7.9.2021 -
Marius Linguraru: Making babies fitter - within MICCAI and beyond
Vom: 31.8.2021 -
Arijit Patra: Big-Pharmas need imaging AI, and they don't know it yet!
Vom: 24.8.2021 -
Indranil Mallick: Why Indian healthcare needs AI post COVID? Reflections of a Radiation Oncologist
Vom: 17.8.2021
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.
