Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

AI Based Metal Artifact Reduction-PMAR

Philips Clinical & Medical Affairs Global · 2026
ClinicalTrials.gov · Datasets · License: Public Domain · 2026
Open Source ↗
The study is going to enroll about 220 consecutive patients with screws in lumber spine after internal fixation surgery who underwent follow-up assessment using Incisive CT according to the department standard of care. Retrospective data sets will be reconstructed into conventional image, the O-MAR algorithm, and Precise-MAR. Three blinded, independent radiologists evaluate both qualitative and quantitative analysis of image quality of surrounding tissue and artifact. Statistical analysis included the Friedman test, Wilcoxon signed-rank test, and Levene test.
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

Record · ID 844809
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