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To analyze the evidence for clinical safety, usability, acceptability, satisfaction, appropriateness, and cost-effectiveness of Dora for recognizing patients who require additional in-person evaluation post cataract surgery. To assess Dora's sensitivity and specificity in cataract surgery management To determine what can be learnt to enhance AI technology in the field of ophthalmology especially when working with culturally diverse patients such as Punjabi and Chinese speaking patients.
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Background:
Cataract is defined as the degradation of the optical quality of the crystalline lens that affects vision and is the current leading cause of blindness worldwide. AI is set to revolutionize post-cataract surgery management by enhancing automation, increasing effectiveness, decreasing burdens placed on patients and the health care system. Ultimately, using AI-enabled automation could enhance patient management during and post cataract surgery.Cataract post-operative contact will be delivered by Dora agent, a natural language AI assistant.
Aim and objective:
Dora is a clinically safe, usable, appropriate, satisfactory and cost-effective AI technology for recognizing patients who require additional evaluation post cataract surgery.
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250 participants in 1 patient group
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Hannah Chiu, MD
Data sourced from clinicaltrials.gov
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