{"paper_id":"76cfe800-001b-4b6b-9987-f237de5b270f","body_text":"Harnessing artificial intelligence in understanding endometriosis\nDOI:\nhttps://doi.org/10.18203/2320-1770.ijrcog20252005Keywords:\nArtificial intelligence , ChatGPT, EndometriosisAbstract\nArtificial 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.\nMetrics\nReferences\nCetera 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\nMasilamani 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\nMoradi 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\nMicrosoft pilot/Bing. Available at: https://copilot.microsoft.com/chats. Accessed on 2 April 2025.","source_license":"CC0","license_restricted":false}