Harnessing artificial intelligence in understanding endometriosis

Dhwani K. Patel, Dipal Patel
In: International Journal of Reproduction, Contraception, Obstetrics and Gynecology · 2025 · vol. 14(7) , pp. 2424–2426 · doi:10.18203/2320-1770.ijrcog20252005 · W4411679886
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AI models like neural networks and large language models offer new opportunities for diagnosing, treating, and identifying early signs of diseases in healthcare.

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This paper discusses how artificial intelligence tools, including neural networks and large language models such as ChatGPT and other contemporary systems, could be used to understand endometriosis by leveraging machine learning and big data for earlier disease identification, with broader implications for diagnosis and treatment. The paper is conceptual rather than an original study, and it does not present original methods, population data, or quantitative results. It highlights the expanding healthcare role of AI but does not specify limitations or evidence quality within the provided text. This paper is centrally about endometriosis — it frames AI (including ChatGPT-style systems) as a tool for improving understanding, early signs, and management of endometriosis.

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Abstract

Artificial intelligence (AI) models, such as neural networks and machine or language learning algorithms like ChatGPT, Microsoft Bing/Copilot, Deepseek AI, Google Gemini are emerging as new tools that can change the world. As technology grows, the opportunity of diagnosing, treating, and especially identifying early signs of any disease becomes wider. In the era of AI, this tool that is supported by machine learning and big data analytics is already demonstrating its potential in advancing the outcomes in healthcare.
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Harnessing artificial intelligence in understanding endometriosis DOI: https://doi.org/10.18203/2320-1770.ijrcog20252005Keywords: Artificial intelligence , ChatGPT, EndometriosisAbstract Artificial intelligence (AI) models, such as neural networks and machine or language learning algorithms like ChatGPT, Microsoft Bing/Copilot, Deepseek AI, Google Gemini are emerging as new tools that can change the world. As technology grows, the opportunity of diagnosing, treating, and especially identifying early signs of any disease becomes wider. In the era of AI, this tool that is supported by machine learning and big data analytics is already demonstrating its potential in advancing the outcomes in healthcare. Metrics References Cetera GE, Tozzi AE, Chiappa V, Castiglioni I, Merli CEM, Vercellini P. Artificial intelligence in the management of women with endometriosis and adenomyosis: can machines ever be worse than humans? J Clin Med. 2024;13(10):2950. DOI: https://doi.org/10.3390/jcm13102950 Masilamani V, Bharathyuvaraj R, Elangovan VR, Ramji H, Subramanian M, Saravanan M, et al. Leveraging artificial intelligence for advancements in reproductive health. Afr J Reprod Health. 2024;28(11):216-7. DOI: https://doi.org/10.29063/ajrh2024/v28i11.21 Moradi Y, Shams-Beyranvand M, Khateri S, Gharahjeh S, Tehrani S, Varse F, et al. A systematic review on the prevalence of endometriosis in women. Indian J Med Res. 2021;154(3):446-54. DOI: https://doi.org/10.4103/ijmr.IJMR_817_18 Microsoft pilot/Bing. Available at: https://copilot.microsoft.com/chats. Accessed on 2 April 2025.

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endometriosis

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