From Experience to Experience: Key Insights for Improved Interaction with AI in Radiology-Reference-Cited by-同舟云学术

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From Experience to Experience: Key Insights for Improved Interaction with AI in Radiology

Published:2024-05-11 Issue: Volume: Page:1-7
ISSN:
Container-title:Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
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Author:

Fang Ning¹^ORCID,Pluyter Jon²^ORCID,Bakker Saskia³^ORCID,Jacobs Igor⁴^ORCID,Luyer Misha⁵^ORCID,Nederend Joost⁵^ORCID,Raijmakers Jeroen³^ORCID,Chen Lin-Lin⁶^ORCID,Funk Mathias¹^ORCID

Affiliation:

1. Industrial Design, Eindhoven University of Technology, Netherlands

2. Philips Experience Design, Netherlands and Industrial Design, Eindhoven University of Technology, Netherlands

3. Philips Experience Design, Netherlands

4. Philips Research, Netherlands

5. Catharina Ziekenhuis, Netherlands

6. Department of Industrial Design, Eindhoven University of Technology, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613905.3650779

Reference37 articles.

1. A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations

2. A qualitative study to explore opinions of Saudi Arabian radiologists concerning AI-based applications and their impact on the future of the radiology

3. Migrating to the Modern PACS: Challenges and Opportunities

4. Artificial intelligence in diagnostic and interventional radiology: Where are we now?

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