Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Machines01:19

Machines

563
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
563
The Thyroid Gland01:23

The Thyroid Gland

6.9K
The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
The follicles have a central cavity lined by simple cuboidal to squamous epithelial cells called follicular cells. These cells produce the glycoprotein...
6.9K
Machines: Problem Solving II01:30

Machines: Problem Solving II

654
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
654
Functions of Thyroid Hormones01:18

Functions of Thyroid Hormones

5.1K
The thyroid hormone (TH) plays a pivotal role in the intricate orchestration of physiological processes, exerting profound effects on development, metabolism, and homeostasis throughout different life stages.
TH is indispensable for the normal development and maturation of the skeletal, muscular, and nervous systems during fetal and childhood growth. It facilitates bone mineral turnover and regulates protein synthesis in developing tissues, contributing significantly to overall growth and...
5.1K
Machines: Problem Solving I01:22

Machines: Problem Solving I

702
A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
702
Nursing Diagnosis01:22

Nursing Diagnosis

3.8K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
3.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Identification of small-molecule HSF1 amplifiers by high content screening in protection of cells from stress induced injury.

Biochemical and biophysical research communications·2009
Same author

Nanowire transformation by size-dependent cation exchange reactions.

Nano letters·2009
Same author

Effect of haishengsu as an adjunct therapy for patients with advanced renal cell cancer: a randomized and placebo-controlled clinical trial.

Journal of alternative and complementary medicine (New York, N.Y.)·2009
Same author

Identification of inhibitors of HSF1 functional activity by high-content target-based screening.

Journal of biomolecular screening·2009
Same author

Antitumor effects of targeting hTERT lentivirus-mediated RNA interference against KB cell lines.

Oncology research·2009
Same author

Characteristics of emissive spectrum and the removal of nitric oxide in N2/02/NO plasma with argon additive.

Journal of environmental sciences (China)·2009

Related Experiment Video

Updated: Jan 27, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.3K

Machine Learning-Assisted System for Thyroid Nodule Diagnosis.

Bin Zhang1, Jie Tian2, Shufang Pei3

  • 11 Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, P.R. China.

Thyroid : Official Journal of the American Thyroid Association
|April 2, 2019
PubMed
Summary
This summary is machine-generated.

Machine learning models can improve the diagnosis of malignant thyroid nodules using ultrasound (US) data. A random forest algorithm demonstrated superior accuracy compared to experienced radiologists, enhancing diagnostic reliability.

Keywords:
diagnosismachine learningrandom forestthyroid noduleultrasound

More Related Videos

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.5K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K

Related Experiment Videos

Last Updated: Jan 27, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
04:23

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

2.3K
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
10:26

Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules

Published on: May 19, 2023

2.5K
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

2.0K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Medicine
  • Oncology

Background:

  • Ultrasound (US) is crucial for differentiating thyroid nodules, but its accuracy depends on examiner expertise.
  • Developing less subjective diagnostic models is essential for consistent thyroid nodule assessment.

Purpose of the Study:

  • To develop and validate a machine learning-based diagnostic model for thyroid nodules.
  • To enhance the accuracy of differentiating malignant from benign thyroid nodules using US data.

Main Methods:

  • A dataset of 2064 thyroid nodules from 2032 patients was analyzed.
  • Nine machine learning algorithms were trained on 60% of the data and validated on the remaining 40%.
  • The best-performing model (random forest) was compared against diagnoses made by experienced radiologists using conventional US and real-time elastography.

Main Results:

  • The random forest algorithm achieved a superior area under the curve (AUC) of 0.938 compared to radiologist diagnosis (AUC 0.843).
  • The machine learning model outperformed radiologists in diagnosing malignant thyroid nodules based on US examinations.
  • Conventional US alone showed an AUC of 0.834 for radiologists versus 0.924 for the random forest model.

Conclusions:

  • Machine learning algorithms, particularly the random forest classifier, show significant potential in improving the accuracy of diagnosing malignant thyroid nodules.
  • AI-assisted US analysis can reduce subjectivity and enhance diagnostic performance in thyroid nodule evaluation.
  • This approach may lead to more reliable and consistent diagnostic outcomes for thyroid nodules.