Publications by authors named "Sara M AlShaker"
Article Synopsis
- This study evaluated the performance of various large language model (LLM) chatbots, including ChatGPT and Google Bard, in responding to cornea-related medical scenarios to assess their effectiveness in clinical settings.
- ChatGPT performed the best overall, scoring an average of 83.8% across various evaluation criteria, while Google Bard excelled in readability metrics.
- The research underscores the potential benefits of LLMs in ophthalmology but emphasizes the need for careful monitoring and professional oversight to ensure safety and effectiveness in patient care.
Objective: To report a case of a retrocorneal fibrous membrane and corneal decompensation following uncomplicated phacoemulsification in an eye with pseudoexfoliative glaucoma.
Method: Case report and literature review.
Results: A monocular 83-year-old female developed corneal decompensation 1 year after uncomplicated cataract extraction via phacoemulsification.
Purpose: With the rise in COVID-19 cases, the Eye Bank of Canada (Ontario Division), the largest eye bank in Canada, was faced with challenges related to ocular donor suitability which resulted in tissue shortages after the first wave of COVID-19 cases in Ontario, Canada. This article aims to analyze the impact of COVID-19 on ocular tissue donation and transplant surgeries.
Methods: Trends in ocular donations in 2020 and the transplant rates were compared with the data from the previous year, as a benchmark of normal eye bank activity.