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

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.0K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.0K
Quality Assurance01:19

Quality Assurance

450
Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
450
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

82
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
82
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

235
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
235
Manipulation and Analysis01:21

Manipulation and Analysis

126
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
126
Machines: Problem Solving I01:22

Machines: Problem Solving I

509
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...
509

You might also read

Related Articles

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

Sort by
Same author

Retrospective Analysis of a WashU-Based Knowledge-Based Planning (KBP) Model for Breast and Chest Wall Planning in Guatemala: Compliance With American Society for Radiation Oncology (ASTRO) 2026 Guidelines.

Cureus·2026
Same author

An integrated toolkit for structure generation, optimization, and evaluation in spatially fractionated radiation therapy.

Journal of applied clinical medical physics·2026
Same author

A Gaussian-based planning approach for robust dose-escalated stereotactic body proton therapy.

International journal of radiation oncology, biology, physics·2026
Same author

Bridging Access Gaps in Radiotherapy: Knowledge-Based Planning in a Resource-Constrained Clinical Setting.

Cureus·2026
Same author

Blinded, bias-controlled multi-rater evaluation of human-versus-AI brain metastasis segmentation using a hybrid foundation-model framework.

Medical physics·2026
Same author

Multi-institutional evaluation of isocentricity on a ring-gantry linear accelerator platform with double-stacked MLCs.

Physics and imaging in radiation oncology·2026

Related Experiment Video

Updated: Nov 4, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.6K

Application programming interface guided QA plan generation and analysis automation.

Matthew C Schmidt1,2, Caleb A Raman1, Yu Wu1

  • 1Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.

Journal of Applied Clinical Medical Physics
|May 26, 2021
PubMed
Summary
This summary is machine-generated.

Automating linear accelerator quality assurance (QA) using the Oncology Information System (OIS) streamlines processes. This system enhances efficiency and standardization for radiation therapy QA, reducing manual effort.

Keywords:
APIESAPIPDSAPIQA automationquality assurance

More Related Videos

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.6K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.6K

Related Experiment Videos

Last Updated: Nov 4, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.6K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.6K
Automated Robotic Liquid Handling Assembly of Modular DNA Devices
11:22

Automated Robotic Liquid Handling Assembly of Modular DNA Devices

Published on: December 1, 2017

12.6K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Health Informatics

Background:

  • Linear accelerator (linac) quality assurance (QA) is critical for radiation therapy machine performance.
  • Current QA procedures are time-consuming and labor-intensive.

Purpose of the Study:

  • To develop an automated and standardized QA plan generation and analysis system within the Oncology Information System (OIS).
  • To streamline the linac QA process, improving efficiency and consistency.

Main Methods:

  • Developed two software components: AutoQA Builder for QA plan generation and AutoQA Analysis for image analysis.
  • Utilized Electronic Portal Imaging Device (EPID) for image acquisition.
  • Compared automated analysis results with current institutional QA standards for various QA plans (jaw junction, light-radiation coincidence, picket fence, VMAT) over six months across three linacs.

Main Results:

  • The AutoQA Builder has been used clinically 322 times across multiple institutions.
  • Automated analysis showed minimal mean differences compared to institutional standards for junction and ball-bearing position detection (0.012 ± 0.053 and 0.011 ± 0.224 mm, respectively).
  • Volumetric Modulated Arc Therapy (VMAT) QA plan analysis yielded a maximum percentage difference of 0.3%.

Conclusions:

  • Automated QA plan creation and analysis using APIs offer immediate benefits for linac QA efficiency and standardization.
  • API integration allows for automated QA plan generation and analysis within the clinical OIS, bypassing tedious manual procedures.