IRIS
metadata only
Attitudes toward AI-generated risk prediction in patients with early breast cancer: an international multicenter survey
artificial-intelligencebreast-cancercardiovascular-diseasechronic-diseaseradiotherapyrisk-predictionsurvey
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
- Acceptability of breast cancer risk assessment amongst general population women aged 30-39 years: A qualitative study.#145815
- Leveraging Artificial Neural Networks for Cancer Prediction: A Synthetic Dataset Approach#85024
- Integrating DNA methylation biomarkers for breast cancer risk prediction using artificial intelligence.#342452
- National Awareness And Early Diagnosis Initiative: Cancer Awareness Measure, Anglia Cancer Network, 2009-2010#164241
- National Awareness and Early Diagnosis Initiative: Cancer Awareness Measure, Barnsley, Bassetlaw, Doncaster and Sheffield, 2008#164238
Record · ID 337711
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