Artificial Intelligence Assisted Bone Age Assessment
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: True AI, Fake AI.
- Who it may be relevant to
- Registry conditions: Bone Age. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Taiwan
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Comparison of the Difference in Bone Age Readings Among Radiologists Using Artificial Intelligence
Overview
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.
Interventions
- Device True AI
True output from bone age AI - Device Fake AI
Randomized output from bone age AI
Primary outcome measures
- Difference of Skeletal Age Estimate [Time frame: Five months]
Eligibility criteria
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
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Crossover
- Masking
- Single blind
- Primary purpose
- Diagnostic
Study locations
Taiwan · 1 center
- Cheng Hsin General Hospital — Taipei
Identifiers
NCT: NCT07121283 · (1141)113A-71