Ophthalmic clinical trials face significant challenges due to outdated workflows and manual endpoint collection methods that lead to high variability and inefficiencies. Experts advocate for an integrated approach using AI-driven systems to standardize assessments and enhance trial execution. Such innovations can mitigate protocol deviations, reduce costs, and streamline training of investigators, ultimately improving data quality and outcomes in clinical research. The integration of modern technology is crucial for the future of successful clinical trials.
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