Assessing the Responses of Large Language Models (ChatGPT-4, Gemini, and Microsoft Copilot) to Frequently Asked Questions in Breast Imaging: A Study on Readability and Accuracy.

Background Large language models (LLMs), such as ChatGPT-4, Gemini, and Microsoft Copilot, have been instrumental in various domains, including healthcare, where they enhance health literacy and aid in patient decision-making. Given the complexities involved in breast imaging procedures, accurate and comprehensible information is vital for patient engagement and compliance. This study aims to evaluate the readability and accuracy of the information provided by three prominent LLMs, ChatGPT-4, Gemini, and Microsoft Copilot, in response to frequently asked questions in breast imaging, assessing their potential to improve patient understanding and facilitate healthcare communication.

Examination of the effect of COVID-19 on sexual dysfunction in women.

Objective: To investigate the effect of COVID-19 on sexual dysfunction in women.

Material And Methods: The women diagnosed with COVID-19 and hospitalised at a tertiary hospital were included. They completed the Introductory Data Form, the Female Sexual Function Index-(FSFI) and the Short Form-36 Quality of Life Scale (SF-36).