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

Radiological Investigation I: X-ray and CT01:30

Radiological Investigation I: X-ray and CT

1.6K
Radiological investigations, including X-rays and computed tomography (CT) scans, are critical for diagnosing and evaluating various medical conditions. These imaging techniques provide valuable insights into the body's internal structures, aiding in the detection of abnormalities, assessment of disease progression, and development of treatment strategies. This article delves into two primary radiological investigations, chest X-rays and CT scans, outlining their purpose, procedures, and...
1.6K
Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

625
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
625
Positron Emission Tomography01:29

Positron Emission Tomography

8.1K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
8.1K
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

858
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
858
Data Reporting and Recording01:24

Data Reporting and Recording

5.6K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.6K
Guidelines for Nursing Documentation I01:30

Guidelines for Nursing Documentation I

2.6K
Quality documentation and reporting share essential characteristics that ensure they are practical and valuable resources for those who use them. These characteristics are:
Factual:  
The following points emphasize the significance of upholding accurate and unbiased documentation in healthcare.
2.6K

You might also read

Related Articles

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

Sort by
Same author

[Comparison of the accuracy of intraocular lens power calculation formulas based on the new swept-source optical coherence tomography biometry].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2021
Same author

The use of a radiographic adjunctive aid in periodontal pocket diagnosis: a preliminary study.

The Journal of dental medicine·2014
Same author

Stand-alone performance of a computer-assisted detection prototype for detection of acute pulmonary embolism: a multi-institutional comparison.

The British journal of radiology·2011
Same author

Comparison of automated 4-chamber cardiac views versus axial views for measuring right ventricular enlargement in patients with suspected pulmonary embolism.

European journal of radiology·2011
Same author

The use of a reference tissue arterial input function with low-temporal-resolution DCE-MRI data.

Physics in medicine and biology·2010
Same author

Pilot study on the effect of composite UmayC in catheter-associated lower urinary tract infection.

Urologia internationalis·2010
Same journal

Disparities in Activation and Use of Patient Portals Among Spanish-Speaking Patients.

Applied clinical informatics·2026
Same journal

Real-World Utilization of a Hospital-Integrated Internet Hospital in Henan Province, China: A 1-Year Observational Study.

Applied clinical informatics·2026
Same journal

From Pandemic Response to Kill the Clipboard: Patient-Controlled Sharing of Health Data Using International Patient Summary (IPS) and QR codes.

Applied clinical informatics·2026
Same journal

Usage of and Satisfaction with Artificial Intelligence-Generated Draft Replies to Patient Portal Messages.

Applied clinical informatics·2026
Same journal

Automating Ambulatory Central Line Data Capture and Calculations.

Applied clinical informatics·2026
Same journal

Effectiveness of Interruptive Clinical Decision Support Alerts on Intravenous vs. Oral Acetaminophen Prescribing.

Applied clinical informatics·2026
See all related articles

Related Experiment Video

Updated: Apr 1, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K

Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology

M Sevenster1, J Buurman2, P Liu3

  • 1Philips Research, Briarcliff Manor , NY, United States.

Applied Clinical Informatics
|October 9, 2015
PubMed
Summary
This summary is machine-generated.

This study developed natural language processing (NLP) engines to extract and categorize measurements from radiology reports. These tools improve the machine understanding of clinical data for better healthcare outcomes.

Keywords:
Natural language processingmaximum entropymeasurementquantitative imagingradiology report

More Related Videos

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

2.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.7K

Related Experiment Videos

Last Updated: Apr 1, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K
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

2.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.7K

Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Radiology

Background:

  • Quantitative outcome parameters are crucial for reproducible healthcare.
  • Measurements in imaging studies are key quantitative parameters.

Purpose of the Study:

  • Develop and evaluate NLP engines for extracting measurements from radiology reports.
  • Categorize extracted measurements by temporality.

Main Methods:

  • Measurement extraction using regular expressions, evaluated against ground truth.
  • Temporality categorization as a machine learning problem using a maximum entropy model.
  • Model evaluated via ten-fold cross-validation.

Main Results:

  • Measurement extraction engine achieved 0.994 precision and 0.991 recall.
  • Measurement classification engine demonstrated 0.960 accuracy.

Conclusions:

  • Contributes to machine understanding of radiology reports.
  • Potential applications in medical data processing software.