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Optimization of Late Imagery Rescripting Research Using Generative Artificial Intelligence

Study acronym: ImRs_LLM_DeanG
StatusRecruiting
PhaseNot applicable
Started
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Record status
This record was last updated May 7, 2026 (before its estimated June 2026 completion). Its status may not reflect the trial's current state.

Record History

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  1. Eligibility criteria shortened, about 7 wordsv2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
The aim of the study is to examine the effect of imagery rescripting (ImRs) in the context of utilizing large language models (LLMs). Intervention will involve the prior presentation of the most aversive fragment of the memory, the so-called 'hotspot.' This intervention will allow for the replication of the effect described by Dibbets and Arntz (2016), according to which the prior activation of the most emotional element of a memory enhances the effectiveness of ImRs. The study is also significant due to another ongoing study in which a substantial number of participants have already been examined; however, due to the exhaustion of funds, it was not possible to utilize the remainder of the recruited sample. Investigating an additional condition will allow for a more complete utilization of the available participant pool and significantly increase the project's scientific value by comparing the traditional ImRs mechanism with its AI-generated version.
Trial Details
NCT Number NCT07565714
Lead Sponsor University of Social Sciences and Humanities, Warsaw
Conditions
(from sponsor)		 Generalized Anxiety, Fear of Failure, Rumination
Related terms Generalized Anxiety Disorder, Rumination Syndrome
Enrollment 40 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov