Using a Smartphone Attachment to Make Neurological Screenings Equitable

UC San Diego engineers developed a smartphone attachment for neurological condition assessments via pupillometry, overcoming traditional device cost barriers. By utilizing far-red light, this innovation allows smartphone cameras to accurately measure pupil dilation irrespective of eye color. The device, tested successfully on multiple smartphone models, notably increased pupil-iris contrast, marking potential for neurological disease screening. Future plans involve cost reduction for mass production, targeting Alzheimer's Disease research. Prioritizing inclusivity, especially for older users and caregivers, this innovation aims for broader community applications, including concussion screenings in high schools. The innovation's core lies in health equity-driven design, emphasizing accessibility beyond traditional healthcare settings.