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Large language models and women's health: a digital companion for informed decision-making
Florian Recker1, Ricarda Neubauer2, Agnes Wittek2
1Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany. florianrecker@icloud.com.
Abstract:
The integration of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT, in gynecology and obstetrics has the potential to significantly transform patient care. These AI-driven tools provide continuous access to information on sensitive health topics such as menstruation, contraception, pregnancy, and childbirth, thereby strengthening patient knowledge and autonomy. By offering easily comprehensible medical information at any time, ChatGPT enables patients to better prepare for medical consultations and ask informed questions without hesitation. This fosters a more balanced, partnership-based dialog between patients and healthcare professionals. At the same time, the use of ChatGPT in medicine presents certain limitations and challenges. While it can provide general information, it lacks the ability to assess individual health conditions or support personalized medical decision-making. Additionally, concerns regarding data privacy and the potential for misunderstandings must be carefully considered. As a result, ChatGPT should not replace medical consultations but rather serve as a complementary resource to support patient education and decision-making. Overall, ChatGPT introduces new opportunities for communication in gynecology and obstetrics. Future research and technological advancements may help further refine its capabilities, making it a more tailored and reliable tool for patients while ensuring its safe and responsible integration into healthcare systems.
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