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6 Challenges When Integrating AI into Optometric Decision-Making (And How to Overcome Them)
Artificial intelligence is transforming optometry, but implementing these technologies into clinical practice comes with real obstacles that can slow adoption and reduce effectiveness. This article examines six common roadblocks that eye care professionals face when incorporating AI into their diagnostic workflows, along with practical solutions drawn from industry experts and early adopters. Understanding these challenges now can help practices avoid costly mistakes and make the transition to AI-assisted care smoother for both practitioners and patients.
Q&A · Optometry Magazine · May 15, 2026
