Patient-Centric AI: Aligning Technology with Value-Based Care Goals
“No thanks. Can I just have my prescription, please?” That sentence is now echoing across exam lanes nationwide, and...
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Building Trust in AI: A Framework for Validating and Implementing AI Tools in Evidence-Based Eye Care
Clinical usage of artificial intelligence in eye care is not theoretical, it is an everyday reality. In 2018, the U.S....
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The AI-Powered Eye Care Clinic: A Blueprint for Efficiency and Enhanced Patient Care
Learn strategies for improving patient care with the help of AI tools. Eye care has a data problem. Not...
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‘Do I Have Bixonimania?’
Today, if your patients ask Google or Gemini or Chat if they have bixonimania, the answer is: “No, you do...
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Multimodal AI Poised to Streamline Eye Care Triage and Coverage
Scot Morris, OD, and Rehan Ahmed, MD, discuss how GPT-5 and multimodal foundation models are poised to evolve triage, diagnostics...
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Beyond the Waiting Room: AI’s Role in a Seamless Patient Journey
The contemporary eye care landscape is defined by a paradox: high-technology diagnostic capabilities operating within a structurally fragmented infrastructure. While...
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4 Criteria to Help You Determine If Your AI is Ethically Founded
Conversations about mitigating bias and maintaining ethics in AI often focus on design and development. Will the algorithm yield discriminatory...
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Is ChatGPT Health A Revamp of Dr. Google?
What’s the latest with ChatGPT Health? Scot Morris, OD, and Rehan Ahmed, MD, recently broke it all down on the...
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Home OCT Personalizes Care for Neovascular Age-Related Macular Degeneration
Aleksandra Rachitskaya, MD, joins Rehan Ahmed, MD to discuss the clinical use of home optical coherence tomography to manage neovascular...
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What Eye Care Practices Should Know About ChatGPT Health and Claude for Healthcare
The next clinical interface In January 2026, OpenAI and Anthropic made strategic moves that signal a meaningful shift in health...
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