PubMed
open access
Enhanced fracture detection on radiographs with AI assistance for clinicians: a systematic review and meta-analysis.
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
- High rate of fracture in long-bone metastasis: Proposal for an improved Mirels predictive score#291669
- Diagnostic Accuracy of Size-Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta-Analysis.#399642
- Fracture Risk of Long Bone Metastases: A Review of Current and New Decision-Making Tools for Prophylactic Surgery#291708
- Materials Experiment and Analysis Database: Sample imaging analysis in which 0 sub-analyses are performed on plate(s) containing BiV,V,Er,W,Eu,Gd,Mo,Ca annealed at 565.0C to add O on 2017-02-14 from Analysis 20170214.104705#633702
- ResNet based backbone integrated YOLO framework for bone fracture detection.#123092
Record · ID 9742
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