Using a Smartphone Attachment to Make Neurological Screenings Equitable

UC San Diego engineers devised a smartphone attachment enabling neurological assessments via pupillometry, addressing disparities in healthcare access. The tool, leveraging far-red spectrum light, circumvents melanin interference, enhancing pupil visibility through smartphone cameras. It facilitates early disease detection and aims to expand beyond clinical settings, particularly benefiting underserved communities. Published findings exhibited a 451% contrast improvement and 2.4% error rate. While eyeing Alzheimer's studies, ensuring user-friendliness, especially for older adults, is pivotal. With potential applications in sports-related concussion screenings and resource-limited settings, its scalability focuses on equitable healthcare, emphasizing a human-centric approach to innovation.