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null Guillermo Rocha, MD, FRCSC, FACS

Associate Investigator, RI-MUHC, 5252 de Maisonneuve site

Surgical and Interventional Sciences Program

Professor, Department of Ophthalmology and Visual Sciences, Faculty of Medicine and Health Sciences, McGill University

Department of Surgery, Division of Adult Ophthalmology, MUHC

 

Keywords

corneal surgery • ocular simulation • artificial intelligence

Research Focus

My clinical research focuses on corneal dystrophies, femtosecond laser-assisted keratoplasty and the surgical management of keratoconus. In addition, having established the McGill Ophthalmology Simulation Program within the MUHC Ophthalmology Simulation Laboratory, I am involved in simulation-based research, device and material development, robotics and applications of AI in Ocular Performance Enhancement.

Selected Publications

Click on Pubmed to see my current publications list

  • Karam M, Baeshen, Lau THA, Jamal L, Abbas K, Falcao M, Rocha G. Efficacy of Simulation-Based Learning for Direct and Indirect Ophthalmoscopy: A Systematic Review and Meta-analysis. Sim Healthcare 2025;00:00–00. DOI: 10.1097/SIH.0000000000000868. PMID: 40622229.

  • Beschi G, Rocha G. Immediate Postoperative Decentration of a Biologic Corneal Inlay Managed With Tomography-Guided Repositioning: A Case Report. Clinical Case Reports, 2026; 14:e72155. DOI: 10.1002/ccr3.72155. PMID: 41767066.

  • Lea Dormegny, Remi Yaïci, Emilia Koestel, et al. Global trends and practice patterns in virtual reality simulation training for ophthalmic surgery: an international survey use of virtual reality simulation training around the world. Scientific Reports | (2025) 15:30886. DOI: 10.1038/s41598-025-16227-7. PMID: 40847049.

  • Fajardo A, Jara Noel K, Azevedo A, Marcotte E, Darvish M, Rocha G, Burnier G. Concordance Between Clinical and Pathological Diagnosis of Stromal Corneal Dystrophies in a Large Case Series. Cornea 2025;44:1528-31. DOI: 10.1097/ICO.0000000000003980. PMID: 40938735.

  • Raheem Remtulla, Patrik Abdelnour, Daniel R. Chow, Andres Ramos, Guillermo Rocha, Paul Harasymowycz. Predicting Pattern Standard Deviation in Glaucoma: A Machine Learning Approach Leveraging Clinical Data. Retinal and Optic Nerve Diseases: New Advances and Current Challenges, 2025. Vision 2025;9,77. DOI: 10.3390/vision9030077. PMID: 40981320.