Akhter MS, Kubra KT, Barabutis N. Protective effects of GHRH antagonists against hydrogen peroxide-induced lung endothelial barrier disruption. Endocrine. 2022;79(3):587–92.
Article PubMed PubMed Central Google Scholar
Giunti G, Michelis F, Halabi A, Koledova E, Harvey J, Dimitri P. The Pediatric Growth Hormone Deficiency Patient Journey: Identifying Opportunities for Digital Health Interventions. 2024.
Kadir ER, Hussein AO, Ojulari LS, Omotoso GO. Role of Pituitary Gland in Fertility Preservation. 2023.
Amir J, Guiot MC, Garfield N. Plurihormonal pituitary adenoma cosecreting ACTH and GH: a rare cause of Cushing’s disease. BMJ Case Rep. 2022;15(11): e251451.
Article PubMed PubMed Central Google Scholar
Badawod S, De B, Clarke DB, Imran SA. Atypical Presentation of Cushing’s Disease With Weight Loss and Hypokalemia. Endocrinol Diabetes Metab Case Rep. 2024;2024(3):1–3
AlNasrallah N, Aljenaee K, Almurshed M, Hajji S. Clinically Functioning Gonadotropin-Secreting Pituitary Adenoma. Endocrinol Diabetes Metab Case Rep. 2024;2024(1):1–3
Taheri MS, Ghomi Z, Mirshahi R, Moradpour M, Niroomand M, Yarmohamadi P, et al. Usefulness of subtraction images for accurate diagnosis of pituitary microadenomas in dynamic contrast-enhanced magnetic resonance imaging. Acta Radiol. 2022;64(3):1148–54.
Eisenhut F, Schmidt M, Buchfelder M, Doerfler A, Schlaffer S-M. Improved detection of cavernous sinus invasion of pituitary macroadenomas with ultra-high-field 7 T MRI. Life. 2022;13(1): 49.
Article PubMed PubMed Central Google Scholar
Elhaie M, Koozari A, Shahbazi-Gahrouei D. Machine learning and neural network approaches for enhanced measuring and prediction of radiation doses. J Radiat Res Appl Sci. 2025;18(1): 101252.
Alammari DM, Melebari RE, Alshaikh JA, Alotaibi LB, Basabeen HS, Saleh AF. Beyond boundaries: the role of artificial intelligence in shaping the future careers of medical students in Saudi Arabia. Cureus. 2024. https://doi.org/10.7759/cureus.69332.
Article PubMed PubMed Central Google Scholar
Dhar T, Dey N, Borra S, Sherratt RS. Challenges of deep learning in medical image analysis—improving explainability and trust. IEEE Trans Technol Soc. 2023;4(1):68–75.
Dai C, Sun B, Wang R, Kang J. The application of artificial intelligence and machine learning in pituitary adenomas. Front Oncol. 2021;11: 784819.
Article PubMed PubMed Central Google Scholar
Fan Y, Jiang S, Hua M, Feng S, Feng M, Wang R. Machine learning-based radiomics predicts radiotherapeutic response in patients with acromegaly. Front Endocrinol. 2019;10: 588.
Fuse Y, Takeuchi K, Hashimoto N, Nagata Y, Takagi Y, Nagatani T, et al. Deep learning based identification of pituitary adenoma on surgical endoscopic images: a pilot study. Neurosurg Rev. 2023;46(1): 291.
Hollon TC, Parikh A, Pandian B, Tarpeh J, Orringer DA, Barkan AL, et al. A machine learning approach to predict early outcomes after pituitary adenoma surgery. Neurosurg Focus. 2018;45(5): E8.
Li Q, Zhu Y, Chen M, Guo R, Hu Q, Lu Y, et al. Development and validation of a deep learning algorithm to automatic detection of pituitary microadenoma from MRI. Front Med. 2021. https://doi.org/10.3389/fmed.2021.758690.
Article PubMed PubMed Central Google Scholar
Han X, Tan J, He Y. Deep learning algorithm-based MRI image in the diagnosis of diabetic macular edema. Contrast Media Mol Imaging. 2022. https://doi.org/10.1155/2022/1035619.
Article PubMed PubMed Central Google Scholar
Makhlouf A, Maayah M, Abughanam N, Catal C. The use of generative adversarial networks in medical image augmentation. Neural Comput Appl. 2023;35(34):24055–68.
Venugopal R, Shafqat N, Venugopal I, Tillbury BMJ, Stafford HD, Bourazeri A. Privacy preserving generative adversarial networks to model electronic health records. Neural Netw. 2022;153:339–48.
Li Q, Zhu Y, Chen M, Guo R, Hu Q, Lu Y, et al. Development and validation of a deep learning algorithm to automatic detection of pituitary microadenoma from MRI. Front Med. 2021;8: 758690.
Zhu H, Fang Q, Huang Y, Xu K. Semi-supervised method for image texture classification of pituitary tumors via CycleGAN and optimized feature extraction. BMC Med Inform Decis Mak. 2020;20(1):215.
Article PubMed PubMed Central Google Scholar
Amano T, Masumoto T, Akutsu H, Sakamoto N, Hoshiai S, Mori K, et al. The utility of dynamic MRI in differentiating the hormone-producing ability of pituitary adenomas. Jpn J Radiol. 2021;39(8):741–8.
Article PubMed PubMed Central CAS Google Scholar
Kwee TC, Kwee RM. Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence. Insights Imaging. 2021;12(1):88.
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