Opportunities to Apply Human-centered Design in Health Care With Artificial Intelligence-based Screening for Diabetic Retinopathy.

Diabetic retinopathy (DR) is a leading cause of blindness. Artificial intelligence (AI) has been proposed to provide a novel opportunity to increase screening for DR. While it is paramount to ensure AI has adequate technical capabilities to perform accurate screening, it is also important to assess how to best implement such technology into clinical practice.

Barriers and Facilitators to Ophthalmology Visit Adherence in an Urban Hospital Setting.

Purpose: To explore barriers and facilitators to completing scheduled outpatient appointments at an urban academic hospital-based ophthalmology department.

Methods: Potential participants were stratified by neighborhood Social Vulnerability Index (SVI) (range, 0-1.0, higher scores indicate greater vulnerability), and semistructured interviews were conducted with individuals 18 years and older with an SVI of greater than 0.

Planning an artificial intelligence diabetic retinopathy screening program: a human-centered design approach.

Diabetic retinopathy (DR) is a leading cause of vision loss in the United States and throughout the world. With early detection and treatment, sight-threatening sequelae from DR can be prevented. Although artificial intelligence (AI) based DR screening programs have been proven to be effective in identifying patients at high risk of vision loss, adoption of AI in clinical practice has been slow.