AIMC Topic: Acromegaly

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Effects of growth hormone on thyroid function are mediated by type 2 iodothyronine deiodinase in humans.

Endocrine Dec 22, 2017
PURPOSE: Growth hormone (GH) therapy in adults alters thyroid function, and acromegaly often involves thyroid disease. The present study aimed to elucidate roles and mechanisms of GH in regulating thyroid function.
Iodothyronine Deiodinase Type II Cell Line Adult Thyroxine Male Human Growth Hormone Middle Aged Hormone Replacement Therapy Acromegaly Thyroid Gland Humans Triiodothyronine Retrospective Studies Dwarfism, Pituitary Iodide Peroxidase Female Gene Expression Regulation Young Adult
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Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods.

EBioMedicine Dec 15, 2017
BACKGROUND: Automatic early detection of acromegaly is theoretically possible from facial photographs, which can lessen the prevalence and increase the cure probability.
Female Male Automation Face Middle Aged Machine Learning Acromegaly Humans Algorithms Photography
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A supervised machine learning approach for predicting the need for postsurgical intervention in acromegaly.

Neurosurgical focus Jul 1, 2025
OBJECTIVE: Patients with growth hormone (GH)-secreting pituitary adenomas (PAs) experience various symptoms and comorbidities, which can ultimately lead to increased mortality. This study aimed to develop and validate a machine learning (ML) model fo...
Cohort Studies Treatment Outcome Male Middle Aged Machine Learning Supervised Machine Learning Aged Female Follow-Up Studies Adult Acromegaly Adenoma Retrospective Studies Humans Growth Hormone-Secreting Pituitary Adenoma
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Real-time detection of acromegaly from facial images with artificial intelligence.

European journal of endocrinology Jan 10, 2023
OBJECTIVE: Despite improvements in diagnostic methods, acromegaly is still a late-diagnosed disease. In this study, it was aimed to automatically recognize acromegaly disease from facial images by using deep learning methods and to facilitate the det...
Artificial Intelligence Machine Learning Female Humans Neural Networks, Computer Acromegaly Cross-Sectional Studies Male
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Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands.

The Journal of clinical endocrinology and metabolism Jun 16, 2021
CONTEXT: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly.
Clinical Decision Rules Receptors, Somatostatin Acromegaly Keratins Logistic Models Treatment Outcome Biomarkers Drug Monitoring Female Ligands Humans Young Adult Predictive Value of Tests Human Growth Hormone Machine Learning Adult Male Insulin-Like Growth Factor I Aged Middle Aged
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