ClinicalTrials.gov
public full text
Public Domain
ArthroPlanner: A Surgical Planning Solution for Acromioplasty
A computer-assisted solution for acromioplasty is presented. The software allows surgeons to better plan the surgical procedure by visualizing dynamic simulation of the patient's shoulder joint during everyday activities. Impingements are dynamically detected and the exact location and amount of bone to be resected is precisely computed. As a result, the success of the acromioplasty does not only rely on the surgeon's experience or previous recommendations, but on quantitative data. Although the clinical validation of this 3D planning support is currently under evaluation, it may allow to recover more effectively postoperative joint mobility, to get a better relationship with pain and a better healing rate of the rotator cuff tendons.
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
- CT-based 3D Planning, Computer Navigation and Subsequent Migration Analysis in Total Hip Arthroplasty#876262
- Range-of-motion Analysis of Reverse Shoulder Arthroplasty#863815
- The Innovation of 3D Printing for Preoperative Planning in Hip Preservation Surgery#872555
- Orthopedic Digital Planning for Total Hip Arthroplasties#880869
- A Phase 2b/3 Study of TPX-115 on Partial-thickness Rotator Cuff Tear#868546
Record · ID 859110
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