AI-ready Healthcare
Un pódcast de Anirban Mukhopadhyay, Henry Krumb
85 Episodo
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Daniel Truhn: LLMs can perform Radiology Reporting
Publicado: 24/12/2024 -
Drew Williamson: The PathChat Story
Publicado: 17/12/2024 -
Jayashree kalpathy Cramer: Eye AI
Publicado: 10/12/2024 -
Randy Ellis: Surgical AI in the Orthopaedics
Publicado: 3/12/2024 -
Uta Schmidt-Straßburger: Oncology AI that empowers patients
Publicado: 26/11/2024 -
Juan Verde: A surgeon making Operating Rooms AI-ready
Publicado: 19/11/2024 -
Michael Levin: Collective and Diverse Intelligence
Publicado: 12/11/2024 -
Maciej A. Mazurowski: SAM for Medical AI
Publicado: 26/8/2024 -
Yiyu Shi: Resource-aware Medical AI
Publicado: 19/8/2024 -
[MICCAI Special] On reviewing well
Publicado: 12/8/2024 -
Hitesh Dave: The age of Computational Pathology
Publicado: 5/8/2024 -
Saad Nadeem: Integrated Diagnostics
Publicado: 29/7/2024 -
Naren Akash RJ: MICCAI Student Board
Publicado: 22/7/2024 -
Islem Rekik: Graph Neural Nets for Brain Connectomics
Publicado: 15/7/2024 -
Akshay Chaudhari: LLMs for Clinical Text Summarization
Publicado: 22/4/2024 -
Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready
Publicado: 15/4/2024 -
H.R. Tizhoosh: Foundation models in Histopathology
Publicado: 8/4/2024 -
S. Kevin Zhou: Building a Medical Time Machine
Publicado: 2/4/2024 -
Alexander Hann: AI for endoscopic imaging
Publicado: 26/3/2024 -
Damini Dey: Cardiology AI
Publicado: 19/3/2024
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.
