Endocrinología e inteligencia artificial: una asociación útil y prometedora
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1. Hasanzad M, Aghaei Meybodi HR, Sarhangi N, Larijani B. Artifcial intelligence perspective in the future of endocrine diseases. Journal of Diabetes Metabolic Disorders [Internet]. 2022 [Citado 10/08/2023];21:971–8. Disponible en: fttp://doi.org/10.1007/s40200-021-00949-2
2. Hong N, Park H, Rhee Y. Machine Learning Applications in Endocrinology and Metabolism Research: An Overview. Endocrinol Metab [Internet]. 2020 [Citado 10/08/2023];35:71-84. Disponible en: http://doi.org/10.3803/EnM.2020.35.1.71
3. Angione C, Wang H, Burtt N. Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism. Front Endocrinol [Internet]. 2023 [Citado 09/08/2023];14:1180254. Disponible en: https://www.frontiersin.org/articles/10.3389/fendo.2023.1180254/full
4. Pearce FJ, Cruz Rivera S, Liu X, Manna E, Denniston AK, Calvert MJ. The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022). The lancet [Internet]. 2023 [Citado 09/08/2023];5(1):e160-67. Disponible en: https://www.thelancet.com/action/showPdf?pii=S2589-7500%2822%2900249-7
5. Gubbi S, Hamet P, Tremblay J, Koch CA, Hannah-Shmouni F. Artificial Intelligence and Machine Learning in Endocrinology and Metabolism: The Dawn of a New Era. Front Endocrinol [Internet]. 2019 [Citado 08/08/2023];10:185. Disponible en: http://doi.org/10.3389/fendo.2019.00185
6. Liu H, Guan X, Xu B, Zeng F, Chen C, Yin H, et al. Computed Tomography-Based Machine Learning Differentiates Adrenal Pheochromocytoma From Lipid-Poor Adenoma. Front Endocrinol [Internet]. 2022 [Citado 11/08/2023]; 13:833413. Disponible en: https://doi.org/10.3389/fendo.2022.833413
7. Mao YJ, Zha LW, Tam AY, Lim HJ, Cheung AK, Zhang YQ, et al. Endocrine Tumor Classification via Machine-LearningBased Elastography: A Systematic Scoping Review. Cancers [Internet]. 2023 [Citado 10/08/2023];15(3):837. Disponible en: https://doi.org/10.3390/cancers15030837
8. Wang R, Pan W, Jin L, Li Y, Geng Y, Gao C, et al. Artificial intelligence in reproductive medicine. Reproduction [Internet]. 2019 [Citado 09/08/2023];158 R139–R154. Disponible en: https://rep.bioscientifica.com/view/journals/rep/158/4/REP-18-523.xml
9. Juneja D, Gupta A, Singh O. Artificial intelligence in critically ill diabetic patients: current status and future prospects. Artif Intell Gastroenterol [Internet]. 2022 [Citado 10/08/2023];3(2):66-79. Disponible en: https://www.wjgnet.com/2644-3236/full/v3/i2/66.htm
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