ClinicalTrials.gov
public full text
Public Domain
Resident-Performed Laser-Assisted vs Manual Traditional Phacoemulsification Cataract Surgery
The study design will be a prospective study comparing laser-assisted cataract extraction cases and traditional manual phacoemulsification cases. All cases will be performed by faculty-supervised residents at Parkland Memorial Hospital. This study aims to examine visual acuity and complication rates in femtosecond laser-assisted cataract surgery compared to traditional manual phacoemulsification cataract surgery for the beginning surgeon. In addition, this study will assess the subjective novice surgeon experience and the patient experience in terms of expectations and results.
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
- Femtosecond Laser Arcuate Keratotomy Versus Toric Intraocular Lens Implantation in Cataract Surgery#1195763
- The Subjective Pre-, Intra-, and Postoperatively Experiences of Patients Undergoing Cataract Surgery.#1371247
- Laser Cataract Surgery With the Femtosecond Laser Technology#874839
- Prospective Evaluation of the Long-term Effectiveness of the Femtosecond Laser-assisted Arcuate Incisions#884308
- A Comparison of Cataract Surgery Alone and Cataract Surgery With iStent#855571
Record · ID 1260488
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