On-Demand Event Recording: Enhancing Efficiency and Candidate Identification in Clinical Trials

‍Event Length: 50 minutes inlcuding Q&A

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Join us for a one-of-a-kind session, where leading retina specialists dive into workflow design for revolutionizing the clinical trial process by leveraging functionality for automated data aggregation and the power of Artificial Intelligence (AI) on imaging based analysis on inclusion and exclusion criteria for studies in Retina.

What will you learn?

The program focuses on improving trial efficiency by automating image analysis, enabling faster and more enhanced identification of eligible candidates, to help reduce manual workloads. Through AI-based imaging solutions, the program aims to highlight the ability to:

• Accelerate Patient Candidate Identification: Utilize AI to analyze medical imaging data rapidly, identifying suitable candidates with greater precision.

• Optimize Trial Efficiency: Reduce time spent on candidate selection, leading to faster trial initiation and improved resource utilization.

• Improve Decision-Making: Provide objective, data-driven insights from imaging analysis to inform candidate selection before screening visits

By integrating AI into the imaging workflow, this program empowers sponsors, researchers and clinicians to streamline processes, improve trial outcomes, and ultimately bring life-saving treatments to market faster.

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Meet Our Speakers

SriniVas R. Sadda, MD I Doheny Eye Center & UCLA Arcadia

SriniVas R. Sadda, MD, is the Director of Artificial Intelligence & Imaging Research at the Doheny Eye Institute, Professor of Ophthalmology at UCLA, and the current President of ARVO. He is a globally recognized retina specialist and researcher specializing in retinal imaging, age-related macular degeneration (AMD), diabetic retinopathy, and artificial intelligence (AI)-based retinal analysis. He is known for his contributions to the development of innovative imaging techniques and analysis methods that have advanced the understanding and treatment of retinal diseases.

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Omer Trivizki, MD, MBA I Bascom Palmer Eye Institute & Tel Aviv Medical Center

Dr. Omer Trivizki, MD, MBA, is a renowned retina specialist at Tel Aviv Medical Center, serving as Vice Chair of Ophthalmology and leads the Digital Initiative. He also holds a Clinical Senior Lecturer position at Tel Aviv University and is a Research Associate at the Bascom Palmer Eye Institute. He is dedicated to advancing the integration of AI, focusing on developing innovative imaging-based analysis workflows to improve efficiency of trials and patient recruitment in retinal studies.

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David Eichenbaum, MD I Retina Vitreous Associates of Florida

Dr. Eichenbaum is a retina specialist, Partner and Director of Research at RVAF and Collaborative Associate Professor at the Morsani College of Medicine at the University of South Florida, with a distinguished career in the diagnosis and treatment of vitreoretinal diseases. He completed his ophthalmology residency at the University of South Florida, and a surgical retina fellowship at Tufts New England Eye Center and Ophthalmic Consultants of Boston. He has served as Principal Investigator in over 100 retina clinical trials and has published in several professional journals and textbook chapters.

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