Measuring AI Reliance Among Intern Doctors in Palestine (AI-RP)

April 23, 2026 updated by: Al-Quds University

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

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.

Study Overview

Status

Enrolling by invitation

Conditions

Intervention / Treatment

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

159

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Control-No AI
Subjects in this arm will undergo the base exam, without an AI assistant, and without the knowledge that an AI assistant is used among other groups.
Experimental: Experimental-Correct AI
Subjects in this arm will undergo the base exam, with an AI assistant, that provides the correct answer.
Behavioral: AI prompt (Correct)
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.
Sham Comparator: Sham Comparator-Incorrect AI
Subjects in this arm will undergo the base exam, with an AI assistant, that provides an incorrect answer.
Behavioral: AI prompt (Incorrect)
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Periprocedural
Exam time
Time Frame: Periprocedural
This will be defined as the length of time subjects spend completing the exam.
Periprocedural

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Baseline
% 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.
Baseline
% 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.
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Al-Quds University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 10, 2026

Primary Completion (Estimated)

May 1, 2026

Study Completion (Estimated)

May 1, 2026

Study Registration Dates

First Submitted

April 1, 2026

First Submitted That Met QC Criteria

April 23, 2026

First Posted (Actual)

April 30, 2026

Study Record Updates

Last Update Posted (Actual)

April 30, 2026

Last Update Submitted That Met QC Criteria

April 23, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 697/REC/2026

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

As the data includes private information, particularly in the form of exam scores, we will opt out of sharing the study data.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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