Endocrinology

[A convolutional neural network based model for assisting pathological diagnoses on thyroid liquid-based cytology].

To develop a convolutional neural network based model for assisting pathological diagnoses on thyroid liquid-based cytology specimens. Seven-hundred thyroid TCT slides were collected, scanned for whole slide imaging (WSI), and divided into training and test sets after labeling the correct diagnosis (benign versus malignant). The extracted regions of interest after noise filtering were cropped in...

[Complications of Da Vinci robot thyroid surgery by bilateral axillo-breast approach].

To evaluate the complications of Da Vinci robotic thyroid surgery by bilateral axillo-breast approach. A retrospective analysis of complications was conducted on 1, 198 cases of Da Vinci robotic thyroid surgery by bilateral axillo-breast approach of the 960 th Hospital of the People's Liberation Army from February 2014 to March 2020. There were 263 men and 935 women, age ranged from 9 to 68 year...

Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study.

BACKGROUND: Strategies for integrating artificial intelligence (AI) into thyroid nodule management require additional development and testing. We deve...

Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease.

Understanding the mechanics of blood flow is necessary for developing insights into mechanisms of physiology and vascular diseases in microcirculation...

Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hyper...

Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other popu...

[Analysis of pancreatic segmentation algorithm based on deep learning to improve pancreatic critical region segmentation ability on dual-phase CT].

To investigate the segmentation effects of the deep learning method on CT in the arterial phase and venous phase respectively by using subjective and...

Deep neural networks identify signaling mechanisms of ErbB-family drug resistance from a continuous cell morphology space.

It is well known that the development of drug resistance in cancer cells can lead to changes in cell morphology. Here, we describe the use of deep neu...

Robot-Assisted Thyroidectomy Versus Open Thyroidectomy in the Treatment of Well Differentiated Thyroid Carcinoma.

BACKGROUND: The incidence of thyroid cancer has increased worldwide during the last decade, becoming the most common endocrine malignancy and accounti...

A Review of Statistical and Machine Learning Techniques for Microvascular Complications in Type 2 Diabetes.

UNLABELLED: Background and Introduction: Diabetes mellitus is a metabolic disorder that has emerged as a serious public health issue worldwide. Accord...

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not ac...

Deep learning for intelligent diagnosis in thyroid scintigraphy.

OBJECTIVE: To construct deep learning (DL) models to improve the accuracy and efficiency of thyroid disease diagnosis by thyroid scintigraphy.

Prediction of Blood Glucose Concentration Based on CEEMD and Improved Particle Swarm Optimization LSSVM.

Aiming at the difficulty of accurate prediction due to the randomness and nonstationary nature of blood glucose concentration series, a blood glucose ...

Recombinant human thyrotropin thyroid hormone withdrawal in differentiated thyroid carcinoma follow-up: a single center experience.

INTRODUCTION: Our goal was to evaluate and compare the diagnostic utility of thyroid hormone withdrawal (THW) and recombinant thyroid-stimulating horm...

Case Report.

BACKGROUND: Thyroid hormone resistance (RTH) is defined as a decrease in response to thyroid hormones in the target tissue. Most patients present with...

SERUM ZONULIN LEVELS IN HYPOTHYROID AND EUTHYROID PATIENTS WITH HASHIMOTO'S THYROIDITIS - A PILOT STUDY.

CONTEXT: Human zonulin is a protein that regulates the intercellular tight junctions in various tissues and organs of the human body. Hashimoto's thyr...

EFFECTIVENESS OF UNILATERAL ADRENALECTOMY IN BILATERAL ADRENAL INCIDENTALOMA PATIENTS WITH SUBCLINICAL HYPERCORTISOLEMIA.

OBJECTIVE: Unilateral adrenalectomy (UA) is an alternative for treatment in bilateral adrenal incidentaloma (AI) to avoid possible long-term risks of ...

[Determination of four bisphenol environmental hormone residues in infant serum by liquid chromatography-tandem mass spectrometry].

Bisphenols are important industrial raw materials that are widely used to produce plastic bottles (feeding bottles), infant cups, and food and beverag...

Smartphone-based diabetic macula edema screening with an offline artificial intelligence.

BACKGROUND: Diabetic macular edema (DME) is a sight-threatening condition that needs regular examinations and remedies. Optical coherence tomography (...

[High-efficiency separation and analysis of monosaccharides in Pueraria polysaccharides by pressurized capillary electrochromatography].

Pueraria polysaccharides have been proven to possess biological activities such as bacteriostasis, anti-oxidative, anti-tumor, and immunity boosting a...