AI-ready Healthcare
A podcast by Anirban Mukhopadhyay, Henry Krumb
78 Episoade
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Robert MacDougall: Quantivly's digital twin of radiology operations
Publicat: 22.11.2022 -
Daniel Rückert: Federated Disentanglement
Publicat: 15.11.2022 -
Jakob Nikolas Kather: Swarm intelligence for Oncology
Publicat: 05.09.2022 -
Prateek Prasanna: Augmenting Radiologist's Knowledge into AI
Publicat: 30.08.2022 -
Sailesh Conjeti: MLOps for Healthcare AI
Publicat: 23.08.2022 -
Ismini Lourentzou: Chest ImaGenome
Publicat: 15.08.2022 -
Matthias Unberath: Forgotten Humans of Explainable AI
Publicat: 09.08.2022 -
Taufique Joarder: Policy Questions of Healthcare AI
Publicat: 02.08.2022 -
Stephen Aylward: The case of Open-source software
Publicat: 26.07.2022 -
Lena Maier-Hein: What does it mean to win a Biomedical Challenge?
Publicat: 12.04.2022 -
Russ Taylor: The role of AI in Robotic Surgery
Publicat: 05.04.2022 -
Ilker Hacihaliloglu: Ultrasound for all
Publicat: 29.03.2022 -
Frank Xu: Baidu's AI, WHO's Digital Health & other stories
Publicat: 22.03.2022 -
Lorenzo Righetto: Publishing MICCAI research into Nature Communications
Publicat: 15.03.2022 -
Karsten Ridder: Communication is key for AI-ready Healthcare
Publicat: 08.03.2022 -
Shuo Li: Will MICCAI 2022 be virtual?
Publicat: 01.03.2022 -
Julia Schnabel: MICCAI goes to Africa
Publicat: 07.12.2021 -
Anant Madabhushi: When MICCAI scientist meets Real Clinicians
Publicat: 30.11.2021 -
Leo Joskowicz: Shaping up AI and MICCAI
Publicat: 23.11.2021 -
Dan Stoyanov: Surgical Data Science 101
Publicat: 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.