JMIR Publications

ABSTRACT

Background:

Endometriosis is a chronic gynecological condition affecting a significant portion of women of reproductive age, leading to debilitating symptoms such as chronic pelvic pain and infertility. Despite advancements in diagnosis and management, patient education remains a critical challenge. With the rapid growth of digital platforms, artificial intelligence (AI) has emerged as a potential tool to enhance patient education and access to information.

Objective:

This systematic review explores the role of AI in facilitating education and improving information accessibility for individuals with endometriosis.

Methods:

This systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure rigorous and transparent reporting. We conducted a comprehensive search of PubMed, Embase, and the Cochrane Central Register of Controlled Trials using the terms "endometriosis" and "artificial intelligence." Studies were selected based on their focus on AI applications in patient education or information dissemination regarding endometriosis. We included studies that evaluated AI-driven tools for assessing patient knowledge and addressed frequently asked questions related to endometriosis. Data extraction and quality assessment were conducted independently by two authors, with discrepancies resolved through consensus.

Results:

Out of 223 initial search results, 10 studies met the inclusion criteria and were fully reviewed. Three studies were ultimately included, with one being an abstract. The studies examined the use of AI models such as ChatGPT, machine learning, and natural language processing in providing educational resources and answering common questions about endometriosis. The findings indicate that AI tools, particularly large language models, offer accurate responses to frequently asked questions, with varying degrees of sufficiency across different categories. AI's integration with social media platforms also highlights its potential to identify patients' needs and enhance information dissemination.

Conclusions:

AI holds promise in advancing patient education and information access for endometriosis, providing accurate and comprehensive answers to common queries and facilitating a better understanding of the condition. However, challenges remain in ensuring ethical use, equitable access, and maintaining accuracy across diverse patient populations. Future research should focus on developing standardized approaches for evaluating AI's impact on patient education and exploring its integration into clinical practice to enhance support for individuals with endometriosis.