Leveraging AI to enhance workflows: identifying at-risk patients and streamlining clinical decision-making

As AI continues to evolve in healthcare, its role in ophthalmology workflows is becoming increasingly valuable. This session will explore how AI-powered tools can assist ophthalmologists in automating image upload and processing, identifying at-risk patients and optimising clinical decision-making. Through real-world examples and evidence-based insights, we will discuss:

• The role of AI in enhancing workflows for ophthalmologists

• Automated data integration from imaging devices to AI-powered tools to improve efficiency

• How AI can assist in identifying and triaging patients at risk for AMD, including GA

• The value of AI in monitoring disease progression and treatment outcomes with comprehensive biomarker analysis

• How AI can help you automate data processes, refine patient selection, to ultimately maximise practice efficiency and profitability.

By integrating AI into daily practice, physicians can streamline workflows, improve early disease detection, and enhance patient management while maintaining efficiency in busy clinical settings. This session will provide insights into how AI can seamlessly be implemented to support professionals in retinal disease management.