Zenodo (CERN)
open access
CC BY 4.0
Machine learning and artificial intelligence for clinical prediction in orthopaedic surgery: a bibliometric analysis of 1,739 publications, 2015–2026
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
- Precision Medicine and Artificial Intelligence in Next-Generation Cancer Surgery: A Comprehensive Analysis of Clinical Applications, Therapeutic Outcomes, and Implementation Strategies.#263196
- Artificial Intelligence in Orthopaedic Training: A Narrative Literature Review of Applications, Evidence, and Limitations.#662867
- Machine Learning and Artificial Intelligence in Clinical Medicine—Trends, Impact, and Future Directions#478144
- Artificial intelligence in orthopedic regenerative medicine: from design to clinical translational pathways.#308881
- The Cutting Edge: A Systematic Review of Artificial Intelligence and Machine Learning in Predicting Esophagectomy Outcomes.#678321
Record · ID 447724
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