Received February 20, 2024
Accepted July 25, 2024

Objective: The rapid development of Artificial Intelligence (AI) has raised questions about its potential uses in different sectors of everyday life. Specifically in medicine, the question arose whether chatbots could be used as tools for clinical decision-making or patients’ and physicians’ education. To answer this question in the context of fertility, we conducted a test to determine whether current AI platforms can provide evidence-based responses regarding methods that can improve the outcomes of embryotransfers. Methods: We asked nine popular chatbots to write a 300-word scientific essay, outlining scientific methods that improve embryotransfer outcomes. We then gathered the responses and extracted the methods suggested by each chatbot. Results: Out of a total of 43 recommendations, which could be grouped into 19 similar categories, only 3/19 (15.8%) were evidence-based practices, those being “ultrasound-guided embryotransfer” in 7/9 (77.8%) chatbots, “single embryotransfer” in 4/9 (44.4%) and “use of a soft catheter” in 2/9 (22.2%), whereas some controversial responses like “preimplantation genetic testing” appeared frequently (6/9 chatbots; 66.7%), along with other debatable recommendations like “endometrial receptivity assay”, “assisted hatching” and “time-lapse incubator”. Conclusion: Our results suggest that AI is not yet in a position to give evidence-based recommendations in the field of fertility, particularly concerning embryotransfer, since the vast majority of responses consisted of scientifically unsupported recommendations. As such, both patients and physicians should be wary of guiding care based on chatbot recommendations in infertility. Chatbot results might improve with time especially if trained from validated medical databases, however, this will have to be verified scientifically.