AIMC Topic: Acromegaly

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Acromegaly facial changes analysis using last generation artificial intelligence methodology: the AcroFace system.

Pituitary Apr 21, 2025
PURPOSE: To describe the development of the AcroFace system, an AI-based system for early detection of acromegaly, based on facial photographs analysis.
Humans Middle Aged Support Vector Machine Face Acromegaly Artificial Intelligence Female Adult Male
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Federated Learning for Predicting Postoperative Remission of Patients with Acromegaly: A Multicentered Study.

World neurosurgery Nov 20, 2024
BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learning (ML) tasks in multicentered studies, maximizing the use of clinical data without data sharing. We aim to propose the first workflow of DFL for ML ...
Remission Induction Acromegaly Federated Learning Middle Aged Humans Deep Learning Neural Networks, Computer Support Vector Machine Machine Learning Female Aged Adult Male
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Evaluation of the impact Of ChatGPT support on acromegaly management and patient education.

Endocrine Nov 5, 2024
PURPOSE: ChatGPT is a widely used artificial intelligence modeling tool. Healthcare is one potential area of use of ChatGPT. This study aimed to test the usability and reliability of ChatGPT in acromegaly, which is less known in society and should be...
Humans Artificial Intelligence Acromegaly Male Female Middle Aged Reproducibility of Results Generative Artificial Intelligence Adult Patient Education as Topic
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Machine learning in predicting early remission in patients after surgical treatment of acromegaly: a multicenter study.

Pituitary Oct 6, 2020
PURPOSE: Accurate prediction of postoperative remission is beneficial for effective patient-physician communication in acromegalic patients. This study aims to train and validate machine learning prediction models for early endocrine remission of acr...
Humans Nerve Net Growth Hormone Machine Learning Algorithms Multicenter Studies as Topic Acromegaly
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Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.

Frontiers in endocrinology Sep 16, 2020
Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperative treatment during long-term follow-up; this phenomenon is defined as postoperative delayed remiss...
Humans Acromegaly Sensitivity and Specificity Decision Support Techniques Machine Learning Male Postoperative Period Retrospective Studies Algorithms Follow-Up Studies Female Adult
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Identifying Facial Features and Predicting Patients of Acromegaly Using Three-Dimensional Imaging Techniques and Machine Learning.

Frontiers in endocrinology Jul 29, 2020
Facial changes are common among nearly all acromegalic patients. As they develop slowly, patients often fail to notice such changes before they become obvious. Consequently, diagnosis and treatment are often delayed. So far, convenient and accurate ...
Female Cross-Sectional Studies Male Acromegaly Imaging, Three-Dimensional Nose Mandible Humans Discriminant Analysis Early Diagnosis Machine Learning Face
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Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning.

Journal of hematology & oncology Jul 3, 2020
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new...
Acromegaly Photography Diagnostic Self Evaluation Cephalometry Datasets as Topic Face Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Models, Theoretical Algorithms Female Adult Sensitivity and Specificity Humans
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[Expression of plasma microRNA in patients with acromegaly].

Problemy endokrinologii Nov 23, 2019
BACKGROUND: microRNA is a class of small non-coding RNA molecules involved in posttranscriptional regulation of gene expression. MicroRNAs are detectable in blood in stable concentrations, which makes them promising biomarkers for various diseases.
MicroRNAs Adult Humans Acromegaly Male Biomarkers Case-Control Studies Female Computational Biology
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Deep-Learning Approach to Automatic Identification of Facial Anomalies in Endocrine Disorders.

Neuroendocrinology Jul 19, 2019
BACKGROUND: Deep learning has the potential to assist the medical diagnostic process. We aimed to identify facial anomalies associated with endocrinal disorders using a deep-learning approach to facilitate the process of diagnosis and follow-up.
Photography Image Interpretation, Computer-Assisted Face Pattern Recognition, Automated Humans Acromegaly Female Adult Male Deep Learning Cushing Syndrome
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Predicting response to somatostatin analogues in acromegaly: machine learning-based high-dimensional quantitative texture analysis on T2-weighted MRI.

European radiology Nov 30, 2018
OBJECTIVE: To investigate the value of machine learning (ML)-based high-dimensional quantitative texture analysis (qTA) on T2-weighted magnetic resonance imaging (MRI) in predicting response to somatostatin analogues (SA) in acromegaly patients with ...
Male Humans Middle Aged Somatostatin Machine Learning Reproducibility of Results Pituitary Neoplasms Algorithms Young Adult ROC Curve Adenoma Retrospective Studies Adult Magnetic Resonance Imaging Predictive Value of Tests Female Acromegaly
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