Application of ChatGPT 4.0 in radiological dose management: Perceptions of radiographers with varying expertise

Conversational Artificial Intelligence (CAI) is transforming healthcare by introducing innovative tools for decision support and training. ChatGPT 4.0, an advanced generative language model, represents a promising resource for radiographers, particularly in complex areas such as Interventional Radiology (IR). This study evaluates the utility of ChatGPT 4.0 in supporting radiographers with varying levels of experience in radiological dose management.

A questionnaire consisting of 12 questions was developed, divided into three levels of difficulty (basic, intermediate, and advanced) relating to dose management in IR. The responses generated by ChatGPT 4.0 were evaluated by six radiographers divided into two groups: experts (more than five years of experience) and non-experienced (with experience in general radiology but no direct involvement in IR), according to three criteria: clarity, accuracy, and reliability, using a five-point Likert scale. Data were analyzed using the U test, Wilcoxon test, and ANOVA to identify differences between the groups.

The Mann-Whitney U test showed general agreement between the groups, with only one question approaching statistical significance (p = 0.059). The Wilcoxon test showed no significant differences for individual questions (p > 0.05). ANOVA showed significant differences in clarity (p < 0.05) and accuracy (p < 0.05), whereas differences in reliability were less pronounced.

ChatGPT 4.0 proves to be an effective tool for supporting non-experienced radiographers, facilitating learning, and reducing professional anxiety. However, greater technical sophistication is required to meet the needs of experts, that expressed higher expectations for clarity and accuracy.

Integrating CAI into radiography can enhance continuous education and optimize clinical practices, supporting both the professional development of radiographers and operational safety. Future adaptations and updates could make such tools more useful for advanced tasks.