Using generative AI to investigate medical imagery models and datasetsResearch in context

Using generative AI to investigate medical imagery models and datasetsResearch in context

Summary: Background: AI models have shown promise in performing many medical imaging tasks. However, our ability to explain what signals these models have learned is severely lacking. Explanations are needed in order to increase the trust of doctors in AI-based models, especially in domains where A...

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Bibliographic Details
Main Authors: Oran Lang, Doron Yaya-Stupp, Ilana Traynis, Heather Cole-Lewis, Chloe R. Bennett, Courtney R. Lyles, Charles Lau, Michal Irani, Christopher Semturs, Dale R. Webster, Greg S. Corrado, Avinatan Hassidim, Yossi Matias, Yun Liu, Naama Hammel, Boris Babenko
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:EBioMedicine
Subjects:
Artificial intelligence
Medical imagery
Explainability
Interpretability
Deep learning
Generative AI
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396424001105

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http://www.sciencedirect.com/science/article/pii/S2352396424001105

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