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2024 - Revolutionizing Ophthalmology Clinical Trials Through Enhanced Accessibility and Advanced AI-driven Analysis

Date2024-07-11

Deadline2024-07-11

VenueONLINE-VIRTUAL, USA - United States USA - United States

KeywordsLife Sciences; Clinical Trials; Pharmaceutical Regulation

Websitehttps://xtalks.com/webinars/revolutioniz...

Topics/Call fo Papers

This webinar explores cutting-edge strategies in ophthalmology clinical trials focused on improving patient access and precision analysis with supplemental artificial intelligence (AI) support. Attendees will gain insights into innovative approaches that can be applied across numerous trial settings.
Beginning with a comprehensive overview of the requirements in ophthalmology clinical trials, the webinar discusses the need for vendor-agnostic, multi-modality platforms in trial design. Inclusion of a browser/cloud-based system ensures regulatory compliance and transparency while offering AI-enabled workflow design for real-time analysis and reporting.
Highlighted case studies demonstrate AI’s transformative impact, particularly in conditions such as dry age-related macular degeneration (AMD). By augmenting traditional metrics with AI-generated analysis, connections to functional improvement and drug efficacy are enhanced, streamlining study workflows. Similarly, in diabetic retinopathy (DR) and macular edema (ME) cases, AI strengthens traditional grading methods, providing deeper insights into disease features through advanced imaging analysis.
Additionally, the webinar discusses the pivotal role of electronic clinical outcome assessments (eCOA) in acknowledging the patient voice and perspective. By implementing best practices for visually impaired patients and integrating validated design features like zoom in/out functionality, participants can seamlessly complete patient-reported outcomes (PROs), improving accessibility and minimizing bias in assessments.
Register for this webinar to explore strategies focused toward improving patient access and precision analysis by integrating artificial intelligence in ophthalmology clinical trials.
Keywords: Clinical Research, Eye Disease, Clinical Data, Regulatory, Diagnostics, Dry Eye Disease, Artificial Intelligence, AI, Eye Health, Ophthalmic Research, Ophthalmology, Commercialization/HEOR/Market Access

Last modified: 2024-06-12 05:14:38