AIMC Topic: Biopsy, Fine-Needle
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Artificial neural network model to distinguish follicular adenoma from follicular carcinoma on fine needle aspiration of thyroid.
Diagnostic cytopathology
Dec 20, 2017
BACKGROUND: To distinguish follicular adenoma (FA) and follicular carcinoma (FC) of thyroid in fine needle aspiration cytology (FNAC) is a challenging problem.
Parathyroid hormone in washout fluid seems to be superior to cytology for localization of the lesion in MIBI-negative patients with primary hyperparathyroidism.
Turkish journal of medical sciences
Dec 19, 2017
Background/aim: Primary hyperparathyroidism (PHPT) is characterized by increased calcium (Ca) and parathyroid hormone (PTH) levels. Surgical removal of the culprit hyperfunctioning parathyroid gland is the preferred treatment. In this study, we aimed...
Computer-assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis.
Cancer cytopathology
Sep 8, 2017
BACKGROUND: Fine-needle aspiration (FNA) biopsy is an accurate method for the diagnosis of solid pancreatic masses. However, a significant number of cases still pose a diagnostic challenge. The authors have attempted to design a computer model to aid...
Bile Duct Neoplasms
Pancreas
Biopsy, Fine-Needle
Pancreatectomy
Computer Simulation
Reproducibility of Results
Diagnosis, Computer-Assisted
Image Processing, Computer-Assisted
Pancreatic Neoplasms
Cytodiagnosis
Carcinoma, Pancreatic Ductal
Adenocarcinoma
Diagnosis, Differential
Humans
Neural Networks, Computer
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 ...
Sensitivity and Specificity
Male
Middle Aged
Diagnosis, Computer-Assisted
Thyroid Diseases
Biopsy, Large-Core Needle
Thyroid Neoplasms
ROC Curve
Artificial Intelligence
Thyroid Cancer, Papillary
Humans
Ultrasonography
Area Under Curve
Female
Thyroid Nodule
Biopsy, Fine-Needle
Aged
Carcinoma, Papillary
Adult
A pre-trained convolutional neural network based method for thyroid nodule diagnosis.
Ultrasonics
Sep 12, 2016
In ultrasound images, most thyroid nodules are in heterogeneous appearances with various internal components and also have vague boundaries, so it is difficult for physicians to discriminate malignant thyroid nodules from benign ones. In this study, ...
From Guidelines to Intelligence: How AI Refines Thyroid Nodule Biopsy Decisions.
Ultrasound in medicine & biology
Aug 1, 2025
OBJECTIVE: To evaluate the value of combining American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) with the Demetics ultrasound diagnostic system in reducing the rate of fine-needle aspiration (FNA) biopsies for thy...
Current landscape and emerging opportunities for using telecytology for rapid on-site assessment in cytopathology.
Cancer cytopathology
Jul 1, 2025
In recent years, cytopathology practices increasingly are considering the adoption of digital modalities to support remote rapid on-site evaluation (ROSE) of fine-needle aspiration biopsies. Currently, various digital options are available, each of w...
Intelligent diagnosis of thyroid nodules with AI ultrasound assistance and cytology classification.
Frontiers in endocrinology
Jan 1, 2025
OBJECTIVE: Accurate evaluation of thyroid nodules is crucial for effective management; however, methods such as ultrasonography and Fine Needle Aspiration Cytology (FNAC) can be subjective and operator-dependent. Indeterminate thyroid nodules (ITNs) ...
Improved Diagnostic Accuracy of Thyroid Fine-Needle Aspiration Cytology with Artificial Intelligence Technology.
Thyroid : official journal of the American Thyroid Association
Jun 1, 2024
Artificial intelligence (AI) is increasingly being applied in pathology and cytology, showing promising results. We collected a large dataset of whole slide images (WSIs) of thyroid fine-needle aspiration cytology (FNA), incorporating z-stacking, fr...
[Artificial intelligence in ultrasound diagnosis of thyroid nodules].
Khirurgiia
Jan 1, 2024
OBJECTIVE: To analyze the efficacy of the S-Detect AI system of the Samsung RS85 ultrasound scanner (South Korea) in stratifying thyroid nodules compared to data obtained by specialist of ultrasound diagnostics.
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