Cheng Hsin General Hospital
Taipei, Taiwan, 112
NCT Number: NCT07121283
AI-Assisted Bone Age Assessment
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Interventional
Not applicable
Taipei, Taiwan, 112
Artificial intelligence (AI) has gained great advancement in the application in clinical practice. However, this might introduce the automation bias, that the clinician over-rely on the incorrect advise from AI. The automation bias could have a great impact on the clinical decisions in an AI era. However, efforts to mitigate the automation bias tend to focus on upgrading AI performance and reducing bias in algorithms, which neglect the role of users. The aim of this study is to investigates the impact of the automation bias on the bone age assessment among radiologists with different seniority.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
True output from bone age AI
Randomized output from bone age AI
Time frame: Five months
Mean absolute difference of bone age assessment between true AI-assisted and fake AI-assisted among radiologists
Cheng-Hsin General Hospital
Other
Comparison of the Difference in Bone Age Readings Among Radiologists Using Artificial Intelligence
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