Title: Personalization of Care Using Big Data & Artificial Intelligence
Speaker: TBA
Description: As patient data grows richer and AI tools mature, eye care is moving toward a more personalized model — one where treatment and management plans are tailored to the individual rather than the average patient. This session explores how big data and AI are enabling this shift, from risk stratification to individualized treatment pathways, and what practitioners need to understand to use these tools responsibly and effectively. The speaker will introduce patient twinning — using data-driven digital models of individual patients to guide care — and discuss how this approach can inform the customization of prescription eyewear and other aspects of the patient's visual correction. Attendees will gain insight into where this technology stands today and how to start applying it in their own patient care decisions.