Prospective Review

The promise and challenges of Artificial Intelligence-Large Language Models (AI-LLMs) in obstetric and gynecology

Khanisyah Erza Gumilar1,2, Ming Tan2,3
1Department of Obstetrics and Gynecology, Hospital of Universitas Airlangga – Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia, 2Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan, 3Institute of Biochemistry and Molecular Biology, China Medical University, Taichung, Taiwan

HIGHLIGHTS

1. The article highlights how Artificial Intelligence with Large Language Models (AI-LLMs) greatly improves diagnosis and treatment personalization in obstetrics & gynecology, and also enhances medical education through interactive simulations and up-to-date learning materials.
2. The article also discusses the ethical issues linked to AI, emphasizing the need for cooperation among different stakeholders to use AI responsibly in medicine, focusing on protecting data privacy and minimizing reliance on technology.

ABSTRACT

The adoption of Artificial Intelligence through Large Language Models (AI-LLM) in medicine has the potential to improve patient care and medical education in obstetrics and gynecology. AI-LLM improves diagnostic accuracy and treatment efficiency by utilizing vast medical databases, especially for rare diseases. AI-LLM also personalizes patient care based on big data and 24/7 internet access. In education, AI-LLM enriches learning through interactive simulations in the curriculum, providing up-to-date materials and access to global resources, thereby reducing the education gap. However, ethical issues such as data privacy and technology dependency require careful management through collaboration between healthcare professionals, expert in technology, academics, hospital committee, and patient representatives to maintain ethical standards and patient respect.

Keywords: Artificial Intelligence; Large Language Model; obstetrics; gynecology; patient care