AIMC Topic: Thyroid Diseases

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Comparison of surgical completeness in patients operated on conventional open total thyroidectomy (OT) or trans-axillary robot-assisted total thyroidectomy (RATT) by a single axillary approach.

Updates in surgery May 10, 2023
Trans-axillary robot-assisted total thyroidectomy (RATT) is nowadays worldwide accepted but the completeness obtained by RATT is still debated. The Aim of this study was to compare the completeness and safety of RATT with conventional open thyroidect...
Humans Thyroid Diseases Thyroidectomy Thyroid Neoplasms Robotics
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Automatic differentiation of thyroid scintigram by deep convolutional neural network: a dual center study.

BMC medical imaging Nov 25, 2021
BACKGROUND: Tc-pertechnetate thyroid scintigraphy is a valid complementary avenue for evaluating thyroid disease in the clinic, the image feature of thyroid scintigram is relatively simple but the interpretation still has a moderate consistency among...
Male China Thyroid Diseases Female Adult Sensitivity and Specificity Datasets as Topic Sodium Pertechnetate Tc 99m Predictive Value of Tests Thyroid Function Tests Radiopharmaceuticals Neural Networks, Computer Retrospective Studies Humans
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Using deep learning to identify the recurrent laryngeal nerve during thyroidectomy.

Scientific reports Jul 12, 2021
Surgeons must visually distinguish soft-tissues, such as nerves, from surrounding anatomy to prevent complications and optimize patient outcomes. An accurate nerve segmentation and analysis tool could provide useful insight for surgical decision-maki...
Thyroid Diseases Thyroid Gland Thyroidectomy Recurrent Laryngeal Nerve Humans Deep Learning
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Ensemble machine learning for the prediction of patient-level outcomes following thyroidectomy.

American journal of surgery Dec 3, 2020
BACKGROUND: Accurate prediction of thyroidectomy complications is necessary to inform treatment decisions. Ensemble machine learning provides one approach to improve prediction.
Predictive Value of Tests ROC Curve Logistic Models Treatment Outcome Aged Adult Male Algorithms Humans Thyroid Diseases Middle Aged Female Machine Learning Thyroidectomy Postoperative Complications Risk Factors
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Rapid Screening of Thyroid Dysfunction Using Raman Spectroscopy Combined with an Improved Support Vector Machine.

Applied spectroscopy Apr 1, 2020
This study aimed to screen for thyroid dysfunction using Raman spectroscopy combined with an improved support vector machine (SVM). In spectral analysis, in order to further improve the classification accuracy of the SVM algorithm model, a genetic pa...
Young Adult Adult Middle Aged Spectrum Analysis, Raman Mass Screening Humans Thyroid Diseases Support Vector Machine Aged Thyroid Gland Aged, 80 and over
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A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment.

Thyroid : official journal of the American Thyroid Association Feb 28, 2017
BACKGROUND: An initial clinical assessment is described of a new, commercially available, computer-aided diagnosis (CAD) system using artificial intelligence (AI) for thyroid ultrasound, and its performance is evaluated in the diagnosis of malignant ...
Male Carcinoma, Papillary Middle Aged Biopsy, Large-Core Needle Diagnosis, Computer-Assisted Thyroid Cancer, Papillary Aged Adult Sensitivity and Specificity Thyroid Nodule Artificial Intelligence ROC Curve Area Under Curve Thyroid Diseases Humans Female Biopsy, Fine-Needle Thyroid Neoplasms Ultrasonography
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Robot-assisted transaxillary thyroidectomy: surgical technique.

European annals of otorhinolaryngology, head and neck diseases May 13, 2015
Robot-assisted transaxillary thyroid surgery avoids the need for a neck incision. It consists of thyroid lobectomy and isthmectomy for moderately large unilateral benign nodules. The surgical imperatives are the same as for conventional surgery, but ...
Robotics Thyroid Neoplasms Feasibility Studies Patient Satisfaction Humans Patient Selection Treatment Outcome Thyroid Diseases Axilla Thyroidectomy
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Improved bio-inspired with machine learning computing approach for thyroid prediction.

Scientific reports Jul 2, 2025
Thyroid illness is widely recognised as a prevalent health condition that can result in a range of health disorders. Thyroid illnesses, namely hypothyroidism and hyperthyroidism, are widespread worldwide and present considerable health consequences. ...
Humans Neural Networks, Computer Thyroid Diseases Machine Learning Support Vector Machine Thyroid Gland Female Decision Trees Deep Learning
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A novel maternal thyroid disease prediction using multi-scale vision transformer architecture with improved linguistic hedges neural-fuzzy classifier.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Early pregnancy thyroid function assessment in mothers is covered. The benefits of using load-specific reference ranges are well-established.
Pregnancy Complications Pregnancy Female Thyroid Diseases Humans Thyroid Nodule Neural Networks, Computer Fuzzy Logic
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[Review on ultrasonographic diagnosis of thyroid diseases based on deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 25, 2023
In recent years, the incidence of thyroid diseases has increased significantly and ultrasound examination is the first choice for the diagnosis of thyroid diseases. At the same time, the level of medical image analysis based on deep learning has been...
Thyroid Diseases Ultrasonography Humans Image Processing, Computer-Assisted Algorithms Deep Learning
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