Overcoming “Fear of AI” Bias: Insights from the Technology Acceptance Model-Reference-Cited by-同舟云学术

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Overcoming “Fear of AI” Bias: Insights from the Technology Acceptance Model

Published:2024-08-01 Issue:8 Volume:44 Page:
ISSN:0271-5333
Container-title:RadioGraphics
language:en
Short-container-title:RadioGraphics

Author:

Herpe Guillaume¹^ORCID,D’Assignies Gaspard²^ORCID,Tang An³^ORCID

Affiliation:

1. Department of Radiology, LABcom I3M DACTIM-MIS, CNRS 7348, 2 rue de la Milétrie, 86021 Poitiers, France*

2. Department of Radiology, Groupe Hospitalier du Havre, Le Havre, France†

3. Department of Radiology and Research Center, Centre Hospitalier; and Department of Radiology, Radiation Oncology and Nuclear Medicine, Université de Montreal, Montreal, Quebec, Canada‡

Funder

Fonds de Recherche du Québec - Santé

Fondation de l’Association des radiologistes du Québec

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/rg.240167

Reference5 articles.

1. Understanding and Mitigating Bias in Imaging Artificial Intelligence

2. The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents

3. Using AI to Improve Radiologist Performance in Detection of Abnormalities on Chest Radiographs

4. Heterogeneity and predictors of the effects of AI assistance on radiologists

5. A Systematic Review of the Technology Acceptance Model in Health Informatics

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