AI-ready Healthcare
A podcast by Anirban Mukhopadhyay, Henry Krumb - Tuesdays
78 Episodes
-
Maciej A. Mazurowski: SAM for Medical AI
Published: 8/26/2024 -
Yiyu Shi: Resource-aware Medical AI
Published: 8/19/2024 -
[MICCAI Special] On reviewing well
Published: 8/12/2024 -
Hitesh Dave: The age of Computational Pathology
Published: 8/5/2024 -
Saad Nadeem: Integrated Diagnostics
Published: 7/29/2024 -
Naren Akash RJ: MICCAI Student Board
Published: 7/22/2024 -
Islem Rekik: Graph Neural Nets for Brain Connectomics
Published: 7/15/2024 -
Akshay Chaudhari: LLMs for Clinical Text Summarization
Published: 4/22/2024 -
Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready
Published: 4/15/2024 -
H.R. Tizhoosh: Foundation models in Histopathology
Published: 4/8/2024 -
S. Kevin Zhou: Building a Medical Time Machine
Published: 4/2/2024 -
Alexander Hann: AI for endoscopic imaging
Published: 3/26/2024 -
Damini Dey: Cardiology AI
Published: 3/19/2024 -
Enzo Ferrante: Fairness in Medical AI
Published: 3/12/2024 -
Joe Lennerz: Berlin Declaration of Health Data Sharing
Published: 12/19/2023 -
Neel Dey: Invariances and Covariances of Medical Imaging
Published: 12/12/2023 -
Maria Zuluaga: Trustworthy Medical AI
Published: 12/5/2023 -
Heather Couture: Oncopathology AI
Published: 11/28/2023 -
Pieter De Backer: AI-assisted Surgical Training
Published: 11/21/2023 -
Camila Gonzalez: Medical Continual Learning
Published: 11/14/2023
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.