ClinicalTrials.gov
public full text
Public Domain
Estimating Patient Size From a Single Radiograph
A computational model has been created to estimate the abdominal depth of a patient from a single x-ray image. The model has been tested using phantoms and found to be accurate; this study aims to test the accuracy of the model with patients and in a clinical setting. This will be achieved by enrolling patient's who have already been referred for an anterior-posterior abdomen x-ray examination to the trial, taking a physical measurement of their anterior-posterior abdominal depth and then comparing this measured value with a value as estimated using the computational model based on the patient's x-ray image.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Limited Abdominal CT in ED Patients With Abdominal Pain#802107
- Efficiency of Diagnostic Strategy for Fast Track Lung Cancer Diagnosis#1127602
- Optimization of imaging parameters in digital chest radiography: A comparison of computed radiography and direct radiography#279302
- 3D Ultrasound Validation for Measuring Stomach Volume#1128001
- A Feasibility Study of Direct Access to an Abdominal ´Yes-No´ Pathway for Primary Care Patients#917645
Record · ID 968421
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive