An interventional study of Artificial Intelligence in Cognitive Burden and Cognitive Symptom, sponsored by UNC Lineberger Comprehensive Cancer Center. Not yet recruiting at 1 site in United States. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-23.
Sponsored by UNC Lineberger Comprehensive Cancer Center · Not applicable, Interventional, and Other
The goal of this study is to explore cognitive burden perceptions among physicians in relation to case report writing. Furthermore, this study evaluates the use of artificial intelligence (AI) assistance as a tool to reduce cognitive burden among providers preparing and submitting case reports. If an AI-tool is helpful in this setting, it may potentially help increase reporting of rare medical events and thereby improve the evidence base for care of these patient populations. This study will occur at a single time point which is expected to last approximately 2 hours. This session will include reviewing two rare tumor cases and then writing a clinical vignette with and without AI assistance.
130 studies on the registry are indexed under Neurobehavioral Manifestations; 27 are open to participants now.
This study's planned enrollment of 10 is below the median of 74 across 96 interventional studies indexed under Neurobehavioral Manifestations.
Browse Neurobehavioral Manifestations studies →UNC Lineberger Comprehensive Cancer Center is the lead sponsor of 429 studies on the registry; 97 are open to participants now.
Of its 33 completed or terminated interventional studies of FDA-regulated products, 26 (79%) have results posted.
Counted across the registry records on this site, refreshed daily.
1. The subject is a physician, medical student, or postdoctoral student.
Exclusion Criteria:
Medical students, resident physicians, or attending physicians report rare cases with using Artificial Intelligence.
Behavioral: Artificial Intelligence
Medical students, resident physicians, or attending physicians report rare cases without using Artificial Intelligence.
Participants will use the Artificial Intelligence assistance tool for case reports.
Subjective Cognitive workload (CWL)
Subjective Cognitive workload (CWL) will be measured while interviews using The National Aeronautics and Space Administration task load (NASA TLX) index is a tool for measuring and conducting a subjective mental workload (MWL) assessment. The NASA-TLX is a subjective measure of CWL and is used across many disciplines. The NASA-TLX considers six dimensions-Mental, Physical, and Temporal Demands, Frustration, Effort, and Performance. NASA-TLX scores ≥55 have been associated with reduced performance in numerous settings. NASA-TLX is considered to be the most used subjective measure of CWL. The validated two-stage process with participants performing 15 separate pair-wise comparisons between 6 dimensions of NASA-TLX will be used. A workload score will be marked from low and high for each dimension. Score values from 0 -100. The Interpretation Score of NASA TLX for Low 0-9, Medium 10-29, Somewhat high 30-49, High 50-79, and Very high 80-100
Time frame: Baseline to 2 hours
Perceived cognitive load
The perceived cognitive load will be measured using System Usability Scale (SUS). SUS is a validated post-test questionnaire that measures user satisfaction. Further, studies confirm that SUS is predictive of the impacts of changes to the user interface on usability when multiple changes to a single product were made over a large number of iterations. SUS is composed of 10 questions- five positive and five negative statements, each having a five-point scale that ranges from strongly disagree to strongly agree. SUS provides a score (range, 0-100) based on the participant's rating of 10 statements regarding usability with higher scores indicating greater satisfaction with usability.
Time frame: Baseline to 2 hours
Plan to share: No
This study is not yet recruiting, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.
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