Artificial Intelligence Assisted Bone Age Assessment

Cheng-Hsin General Hospital

Status: Invitation-only

Conditions: Bone Age

Treatments: Device: True AI; Device: Fake AI

Study type: Interventional

Funder types: Other

Identifiers

NCT07121283

(1141)113A-71

Details and patient eligibility

About

AI-Assisted Bone Age Assessment

Full 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.

Enrollment: 8 estimated patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion criteria

• Exams read by radiologists who interpret pediatric skeletal age exams and verbally consent to participate

Exclusion criteria

• Exams containing more than one radiograph will not be included. No further exclusion criteria will be applied on the basis of image quality metrics or manufacturers

Trial design

Primary purpose: Diagnostic

Allocation: Randomized

Interventional model: Crossover Assignment

Masking: Single Blind

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8 participants in 2 patient groups

True AI

Experimental group

Treatment:

Device: True AI

Fake AI

Experimental group

Treatment:

Device: Fake AI