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Enrolling by Invitation

NCT Number: NCT07558746

Measuring AI Reliance Among Intern Doctors in Palestine

This study aims to enroll intern doctors and have them sit one of three identical radiology exams. The only difference between them is an AI-assistant. The differences between these groups will be used to measure the extent of AI reliance among intern doctors in Palestine.

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Key information

Conditions

Radiology AI (Artificial Intelligence) Internship and Residency

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Al-Quds University

Abū Dīs, Palestinian Territories

About this study

This is a triple-arm trial investigating AI reliance in radiology among intern doctors in Palestine. The study will involve a radiology exam with three versions, a control, a sham AI (Correct answer) version, and a sham AI (incorrect answer) version. By comparing differences between the three groups, we aim to quantify AI reliance among this patient population.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Intern doctor in Palestine
  • Completion of at least 3 months from their 1 year internship
  • Confirmed prior training in radiologic interpretation

Exclusion criteria

  • Does not consent to the study
  • Completion of the internship
  • Non-completion of at least 3 months of their 1 year internship

Treatment and study plan

AI prompt (Correct)

Behavioral

This is a suggested answer in the guise of an AI assistant. The prompt was written by the authors and not an actual AI chat model. The suggested answer is correct.

AI prompt (Incorrect)

Behavioral

This is a suggested answer in the guise of an AI assistant. The prompt was written by the authors and not an actual AI chat model. The suggested answer is incorrect.

Primary outcomes

  1. AI Reliance

    Time frame: Periprocedural

    The extent of dependance of subjects on AI. It will be estimated based on a difference in mean score between the groups. We will also assess this outcome by creating an (AI-concordance field: for the intervention groups it will be how many times the subjects answered identically to the AI prompt, while for the control group it will be 0).

    AI reliance will be operationalized as:

    AI Reliance = Mean score improvement in the correct-AI group vs control Mean score decrement in the incorrect-AI group vs control

    We will compare the two different outcome measures to determine which better represents our outcome.

  2. Exam time

    Time frame: Periprocedural

    This will be defined as the length of time subjects spend completing the exam.

Secondary outcomes

  1. Correlation of baseline characteristics with AI reliance

    Time frame: Baseline

    We will measure specific variables and their correlation with increased AI reliance.

    For this measure, we will depend on self-reported via a post-exam survey and include: gender, region, current clinical exposure, and current radiological exposure.

    We will then demonstrate the % of patients with the aforementioned characteristics and the differences in AI reliance in those aspects.

  2. % of Subjects with a positive Perception of AI use in Radiology, and its correlation with AI reliance

    Time frame: Baseline

    We will measure AI perception in radiology among subjects and its effect on their AI reliance. This will be done via a scale described in the literature, and by assessment of the % of subjects who have a positive, or negative outlook or perception on AI use in radiology. We will further test the relationship between AI reliance and AI perception.

    This will be done through the use of the scale described (Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study) by Chen et al.

  3. % of radiology interest as a specialty and its correlation with AI reliance

    Time frame: Baseline

    We will measure radiology interest and its association with AI reliance.

    For this measure, we will use a validated tool for the measurement of radiology interest, described in the following study: "Assessing diagnostic radiology knowledge among Syrian medical undergraduates"

    We will then demonstrate the % of patients interested in specializing in radiology and the differences in AI reliance in those aspects.

Sponsors and collaborators

Lead sponsor

Al-Quds University

Other

Registry information

Official study title

AI Reliance in Diagnostic Radiology Among Intern Doctors in Palestine: A Triple-Arm, Triple-Blind, Parallel-Design Randomized Controlled Trial

Acronym: AI-RP

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Apr 30, 2026
Registry last updated
Apr 30, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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