Comparison of Artificial Intelligence-assisted Informed Consent Obtained Before Coronary Angiography with the Conventional Method: Medical Competence and Ethical Assessment

Objective: At the time of informed consent (IC) for coronary angiography (CAG), patients' knowledge of the process is inadequate. Time constraints and a lack of personalization of consent are the primary causes of inadequate information. This procedure can be enhanced by obtaining IC using a chatbot powered by artificial intelligence (AI).

Methods: In the study, patients who will undergo CAG for the first time were randomly divided into two groups, and IC was given to one group using the conventional method and the other group using an AI-supported chatbot, chatGPT3. They were then evaluated with two distinct questionnaires measuring their satisfaction and capacity to understand CAG risks.

Results: While the satisfaction questionnaire was equal between the two groups ( = 0.581), the correct understanding of CAG risk questionnaire was found to be significantly higher in the AI group (<0.001).

Conclusions: AI can be trained to support clinicians in giving IC before CAG. In this way, the workload of healthcare professionals can be reduced while providing a better IC.