PubMed
open access
Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study.
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
- Targeted Fluorescence Imaging in AMD#981983
- Repeated Eye Injections of Aflibercept for Treatment of Wet Age Related Macular Degeneration#1030417
- Intravitreal Aflibercept in Neovascular AMD With Limited Response to Ranibizumab#859890
- Connective Tissue Growth Factor in Patients With Neovascular Age Related Macular Degeneration#806545
- Study of Switching to Aflibercept 8 mg in Patients With Refractory or Dependent Exudative Age-related Macular Degeneration#1161909
Record · ID 9572
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