Evaluating the performance and clinical decision-making impact of ChatGPT-4 in reproductive medicine.

Background: ChatGPT, a sophisticated language model developed by OpenAI, has the potential to offer professional and patient-friendly support. We aimed to assess the accuracy and reproducibility of ChatGPT-4 in answering questions related to knowledge, management, and support within the field of reproductive medicine.

Methods: ChatGPT-4 was used to respond to queries sourced from a domestic attending physician examination database, as well as to address both local and international treatment guidelines within the field of reproductive medicine.

Endometrial microbial alterations disrupt endometrial immune homeostasis by overactivation of Eicosapentaenoic acid biosynthesis leading to altered endometrial receptivity.

Embryo implantation is a key step in human reproduction, and the endometrium plays a key role in this process. Changes in the receptive state of the endometrium are one of the main reasons for embryo implantation failure. However, the mechanism underlying the altered endometrial receptivity remains unclear.