AI Medical Compendium Journal:
The Journal of clinical endocrinology and metabolism

Showing 11 to 18 of 18 articles

Convolutional Neural Network-Based Computer-Assisted Diagnosis of Hashimoto's Thyroiditis on Ultrasound.

The Journal of clinical endocrinology and metabolism Mar 24, 2022
PURPOSE: This study investigates the efficiency of deep learning models in the automated diagnosis of Hashimoto's thyroiditis (HT) using real-world ultrasound data from ultrasound examinations by computer-assisted diagnosis (CAD) with artificial inte...
Artificial Intelligence Retrospective Studies Diagnosis, Computer-Assisted Hashimoto Disease Humans Neural Networks, Computer
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Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support.

The Journal of clinical endocrinology and metabolism Nov 19, 2021
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-benign thyroid cytology and histology.
Ultrasonography Thyroid Nodule Decision Support Systems, Clinical Follow-Up Studies Thyroid Gland Humans Area Under Curve Machine Learning Biopsy, Fine-Needle Prognosis Retrospective Studies Child Thyroid Neoplasms
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Development and Evaluation of Deep Learning-based Automated Segmentation of Pituitary Adenoma in Clinical Task.

The Journal of clinical endocrinology and metabolism Aug 18, 2021
CONTEXT: The resection plan of pituitary adenoma (PA) needs preoperative observation of the sellar region. Radiomics prediction requires high-quality segmentations. Manual delineation is time-consuming and subject to rater variability.
Magnetic Resonance Imaging Adult Male Pituitary Neoplasms Humans Middle Aged Adenoma Female Deep Learning Carotid Artery, Internal
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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.
Humans Machine Learning Biomarkers Female Aged Young Adult Adult Insulin-Like Growth Factor I Logistic Models Treatment Outcome Predictive Value of Tests Male Middle Aged Drug Monitoring Human Growth Hormone Keratins Ligands Clinical Decision Rules Acromegaly Receptors, Somatostatin
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Prediction of Adult Height by Machine Learning Technique.

The Journal of clinical endocrinology and metabolism Jun 16, 2021
CONTEXT: Prediction of AH is frequently undertaken in the clinical setting. The commonly used methods are based on the assessment of skeletal maturation. Predictive algorithms generated by machine learning, which can already automatically drive cars ...
Infant, Newborn Adult Male Infant Machine Learning Algorithms Decision Support Techniques Predictive Value of Tests Body Height Pediatrics Anthropometry Child, Preschool Child Longitudinal Studies Regression Analysis Humans Growth Charts
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Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

The Journal of clinical endocrinology and metabolism Mar 8, 2021
CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking.
Humans Machine Learning Algorithms Prognosis Pregnancy Female Early Diagnosis Socioeconomic Factors Risk Factors Body Mass Index Adult Models, Statistical China Diabetes, Gestational
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Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism Jan 1, 2021
CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...
Algorithms Computer Simulation Pituitary ACTH Hypersecretion Prognosis Retrospective Studies ACTH-Secreting Pituitary Adenoma Humans Machine Learning Male Middle Aged Adenoma China Treatment Outcome Female Neurosurgical Procedures Time Factors Follow-Up Studies Remission Induction Reproducibility of Results Models, Statistical Postoperative Period Young Adult Adult
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Gut Microbiota in T1DM-Onset Pediatric Patients: Machine-Learning Algorithms to Classify Microorganisms as Disease Linked.

The Journal of clinical endocrinology and metabolism Sep 1, 2020
AIMS: The purpose of this work is to find the gut microbial fingerprinting of pediatric patients with type 1 diabetes.
Metagenome Cohort Studies Child, Preschool Child Feces Humans Diabetes Mellitus, Type 1 Gastrointestinal Microbiome Machine Learning Age of Onset Female Algorithms Risk Factors Male Adolescent
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