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Related Concept Videos

The Pituitary Gland01:17

The Pituitary Gland

9.9K
The pituitary is a small endocrine organ in the sphenoid bone under the hypothalamus. Primarily, the pituitary in adults has two distinct anatomical and functional regions— the anterior and posterior lobes. During human fetal development, a third pituitary gland region called the pars intermedia atrophies and disappears. However, some of its cells migrate and exist adjacent to the anterior pituitary in adults.
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Hormones of the Pituitary Gland01:27

Hormones of the Pituitary Gland

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The small, pea-sized pituitary gland is located at the base of the brain. It is crucial in regulating various bodily functions, from growth to reproduction. The gland is divided into the anterior lobe and the posterior lobe. The secretory cell clusters in the pars distalis of the anterior pituitary lobe are controlled by hypothalamic regulators and synthesize six primary hormones.
The most abundantly secreted hormone from the anterior lobe is the growth hormone, which controls overall growth by...
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Hypothalamic-Pituitary Axis01:37

Hypothalamic-Pituitary Axis

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The response to stress—be it physical or psychological, acute or chronic—involves activation of the Hypothalamic-Pituitary-Adrenal (HPA) axis. The HPA axis is part of the neuroendocrine system because it involves both neuronal and hormonal communication. Its function is to regulate homeostatic systems—metabolic, cardiovascular, and immune—providing the necessary means to respond to a stressor.
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Major Hormones and Their Functions01:27

Major Hormones and Their Functions

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Hormones, the biochemical messengers produced by endocrine glands, are pivotal in regulating bodily functions and maintaining homeostasis. Each hormone's balance is crucial; imbalances can lead to significant physiological disruptions. Major hormones include oxytocin, cortisol, epinephrine, estrogen, testosterone, thyroxine, growth hormone, insulin, and glucagon.
Oxytocin, produced in the hypothalamus and released by the pituitary gland, plays a role in social bonding, childbirth, and...
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Regulation of Hormone Secretion01:19

Regulation of Hormone Secretion

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Regulation of hormone secretion is a finely tuned orchestration driven by various types of stimuli, encompassing neural, humoral, and hormonal signals. Environmental cues instigate neural stimuli, where action potentials traverse nerve fibers to reach their designated targets. An illustrative scenario is the body's response to stress, wherein the sympathetic nervous system releases epinephrine from the adrenal glands, inducing the well-known 'fight or flight' reaction.
Humoral...
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Updated: Jan 14, 2026

Development of Organoids from Mouse Pituitary as In Vitro Model to Explore Pituitary Stem Cell Biology
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Development of Organoids from Mouse Pituitary as In Vitro Model to Explore Pituitary Stem Cell Biology

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Artificial Intelligence in Pituitary Disease.

Nidan Qiao1

  • 1Department of Neurosurgery, Huashan Hospital, Shanghai, Medical College, Fudan University, Shanghai, National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, Neurosurgical Institute of Fudan University, Shanghai, China.

Endocrinology and Metabolism Clinics of North America
|October 23, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence shows promise in pituitary disease research for diagnosis and treatment prediction. Challenges remain in applying AI broadly and ensuring patient benefit in clinical practice.

Keywords:
CraniopharyngiomaDeep learningLarge language modelsMachine learningPitNETs

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Area of Science:

  • Endocrinology
  • Medical Informatics
  • Neurosurgery

Background:

  • Artificial intelligence (AI) demonstrates significant potential in advancing clinical research for pituitary diseases.
  • AI applications span differential diagnosis, tumor classification, invasion assessment, and surgical outcome prediction.

Purpose of the Study:

  • To review the current applications of AI in pituitary disease research.
  • To identify challenges hindering the clinical translation of AI tools for pituitary disorders.
  • To explore the role of foundation models in developing robust AI solutions.

Main Methods:

  • Comprehensive literature review of AI applications in pituitary disease.
  • Analysis of AI's role in diagnosis, prognosis, and treatment prediction.
  • Evaluation of barriers to clinical implementation and future directions.

Main Results:

  • AI aids in differential diagnosis, tumor subtype prediction, invasion assessment, and surgical outcome forecasting.
  • AI models can predict medication response for functional pituitary adenomas.
  • Key challenges include ensuring AI generalizability, clinical applicability, and demonstrable patient benefit.

Conclusions:

  • AI offers substantial promise for improving pituitary disease management.
  • Overcoming challenges in generalizability and clinical integration is crucial for real-world impact.
  • Foundation models may provide adaptable solutions for reliable AI deployment.