AI-ready Healthcare
Un podcast de Anirban Mukhopadhyay, Henry Krumb
78 Épisodes
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Maciej A. Mazurowski: SAM for Medical AI
Publié: 26/08/2024 -
Yiyu Shi: Resource-aware Medical AI
Publié: 19/08/2024 -
[MICCAI Special] On reviewing well
Publié: 12/08/2024 -
Hitesh Dave: The age of Computational Pathology
Publié: 05/08/2024 -
Saad Nadeem: Integrated Diagnostics
Publié: 29/07/2024 -
Naren Akash RJ: MICCAI Student Board
Publié: 22/07/2024 -
Islem Rekik: Graph Neural Nets for Brain Connectomics
Publié: 15/07/2024 -
Akshay Chaudhari: LLMs for Clinical Text Summarization
Publié: 22/04/2024 -
Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready
Publié: 15/04/2024 -
H.R. Tizhoosh: Foundation models in Histopathology
Publié: 08/04/2024 -
S. Kevin Zhou: Building a Medical Time Machine
Publié: 02/04/2024 -
Alexander Hann: AI for endoscopic imaging
Publié: 26/03/2024 -
Damini Dey: Cardiology AI
Publié: 19/03/2024 -
Enzo Ferrante: Fairness in Medical AI
Publié: 12/03/2024 -
Joe Lennerz: Berlin Declaration of Health Data Sharing
Publié: 19/12/2023 -
Neel Dey: Invariances and Covariances of Medical Imaging
Publié: 12/12/2023 -
Maria Zuluaga: Trustworthy Medical AI
Publié: 05/12/2023 -
Heather Couture: Oncopathology AI
Publié: 28/11/2023 -
Pieter De Backer: AI-assisted Surgical Training
Publié: 21/11/2023 -
Camila Gonzalez: Medical Continual Learning
Publié: 14/11/2023
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.
