NCT07121283

Artificial Intelligence Assisted Bone Age Assessment

Comparison of the Difference in Bone Age Readings Among Radiologists Using Artificial Intelligence

• Status: Enrolling By Invitation
• Phase: N/A
• Study type: Interventional
• Enrollment: 8 (estimated)
• Sponsor: Cheng-Hsin General Hospital · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

AI-Assisted Bone Age Assessment

Detailed description

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.

Conditions

• Bone Age

Interventions

Type	Name	Description
DEVICE	True AI	True output from bone age AI
DEVICE	Fake AI	Randomized output from bone age AI

Timeline

• Start date: 2025-09-01
• Primary completion: 2026-02-18
• Completion: 2026-08-18
• First posted: 2025-08-13
• Last updated: 2026-04-17

Locations

1 site across 1 country: Taiwan