Artificial Intelligence in Pituitary Disease

• Qiao, Nidan ^[1]
  1. [1] Department of Neurosurgery, Huashan Hospital, Shanghai, Medical College, Fudan University, Shanghai, National Center for Neurological Disorders, Shanghai, China
• Localización: Endocrinology and metabolism clinics of North America, ISSN 0889-8529, Vol. 54, Nº. 4, 2025, págs. 715-728
• Idioma: inglés
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• Resumen

  • AI has shown great promise in clinical research for pituitary diseases, with prediction models surpassing traditional regression methods in terms of accuracy. However, to translate these findings into real-world clinical care, several critical issues require further validation and attention.

    1.Generalizability: Most AI studies have been conducted at single centers, with a limited number of participants. Few studies include diverse, international, multicenter datasets, with representation from more