Pascal W. Hasler
Papers
2
Total Citations
18
H-Index
2
About
Pascal W. Hasler is a leading clinician-scientist in ophthalmology, whose work bridges cutting-edge artificial intelligence and robotic surgery to transform the diagnosis and treatment of retinal diseases. His research centers on two pivotal areas: the application of machine learning to ophthalmic imaging and the advancement of robotic-assisted vitreoretinal surgery. In a landmark 2019 study, Hasler demonstrated the feasibility of using support vector machine learning on sparse optical coherence tomography (spOCT) data to automatically monitor neovascular age-related macular degeneration (AMD), even with small sample sizes—a breakthrough that has garnered 13 citations for its potential to make AMD screening more accessible. More recently, his 2024 work provides a critical comparative analysis of surgical times between manual and robot-assisted epiretinal membrane peeling using the Preceyes Surgical System, a study with 5 citations that offers vital insights into the efficiency and clinical integration of robotic assistance in delicate retinal procedures. By systematically evaluating these novel technologies, Hasler is at the forefront of efforts to enhance both diagnostic accuracy and surgical precision in vitreoretinal care, directly addressing the challenges of an aging population.
Research Focus
Key Achievements
Top Papers
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- 2