The Medical Benefits and Challenges of Integrating AI into the Process for Endometriosis

Artificial intelligence (AI) is transforming the diagnosis and treatment of endometriosis by improving detection accuracy and enabling the development of more personalised treatments. This paper explores the use of AI across medical imaging, clinical and genomic data , comparing its effectiveness to traditional methods such as laparoscopy, a minimally invasive surgical procedure. While early studies show promising results, limitations including data bias, small datasets, and limited clinical validation remain significant barriers. Overall, this paper suggests that AI has the potential to revolutionise gynaecological care provided the issues of data privacy and algorithmic bias are addressed to prevent a wider gap in global healthcare.