AI-ready Healthcare
Un podcast de Anirban Mukhopadhyay, Henry Krumb - Les mardis
78 Épisodes
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Robert MacDougall: Quantivly's digital twin of radiology operations
Publié: 22/11/2022 -
Daniel Rückert: Federated Disentanglement
Publié: 15/11/2022 -
Jakob Nikolas Kather: Swarm intelligence for Oncology
Publié: 05/09/2022 -
Prateek Prasanna: Augmenting Radiologist's Knowledge into AI
Publié: 30/08/2022 -
Sailesh Conjeti: MLOps for Healthcare AI
Publié: 23/08/2022 -
Ismini Lourentzou: Chest ImaGenome
Publié: 15/08/2022 -
Matthias Unberath: Forgotten Humans of Explainable AI
Publié: 09/08/2022 -
Taufique Joarder: Policy Questions of Healthcare AI
Publié: 02/08/2022 -
Stephen Aylward: The case of Open-source software
Publié: 26/07/2022 -
Lena Maier-Hein: What does it mean to win a Biomedical Challenge?
Publié: 12/04/2022 -
Russ Taylor: The role of AI in Robotic Surgery
Publié: 05/04/2022 -
Ilker Hacihaliloglu: Ultrasound for all
Publié: 29/03/2022 -
Frank Xu: Baidu's AI, WHO's Digital Health & other stories
Publié: 22/03/2022 -
Lorenzo Righetto: Publishing MICCAI research into Nature Communications
Publié: 15/03/2022 -
Karsten Ridder: Communication is key for AI-ready Healthcare
Publié: 08/03/2022 -
Shuo Li: Will MICCAI 2022 be virtual?
Publié: 01/03/2022 -
Julia Schnabel: MICCAI goes to Africa
Publié: 07/12/2021 -
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
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.
