~7 spots leftby Aug 2027

Smart Bionic Eye for Blindness

Palo Alto (17 mi)
Overseen byMichael Beyeler, PhD
Age: 18+
Sex: Any
Travel: May be covered
Time Reimbursement: Varies
Trial Phase: N/A
Waitlist Available
Sponsor: University of California, Santa Barbara
No Placebo Group

Trial Summary

What is the purpose of this trial?Visual impairment is one of the ten most prevalent causes of disability and poses extraordinary challenges to individuals in our society that relies heavily on sight. Living with acquired blindness not only lowers the quality of life of these individuals, but also strains society's limited resources for assistance, care and rehabilitation. However, to date, there is no effective treatment for man patients who are visually handicapped as a result of degeneration or damage to the inner layers of the retina, the optic nerve or the visual pathways. Therefore, there are compelling reasons to pursue the development of a cortical visual prosthesis capable of restoring some useful sight in these profoundly blind patients. However, the quality of current prosthetic vision is still rudimentary. A major outstanding challenge is translating electrode stimulation into a code that the brain can understand. Interactions between the device electronics and the retinal neurophysiology lead to distortions that can severely limit the quality of the generated visual experience. Rather than aiming to one day restore natural vision (which may remain elusive until the neural code of vision is fully understood), one might be better off thinking about how to create practical and useful artificial vision now. The goal of this work is to address fundamental questions that will allow the development of a Smart Bionic Eye, a device that relies on AI-powered scene understanding to augment the visual scene (similar to the Microsoft HoloLens), tailored to specific real-world tasks that are known to diminish the quality of life of people who are blind (e.g., face recognition, outdoor navigation, reading, self-care).

Eligibility Criteria

This trial is for adults over 18 who have had a visual prosthesis implanted, are healed from the surgery, and can follow directions for tests. They must be able to see at least 20/40 with correction, walk without help, speak English, and commit to several days of testing.

Inclusion Criteria

I understand the study information and can give my consent in writing.
I can walk without help.
I am 18 years old or older.

Exclusion Criteria

I have experienced motion sickness or flicker vertigo.

Treatment Details

The study is testing a 'Smart Bionic Eye', an AI-powered device designed to enhance vision for specific tasks like face recognition and navigation. It aims to improve life quality by providing practical artificial vision.
1Treatment groups
Experimental Treatment
Group I: Perception resulting from AI-powered artificial visionExperimental Treatment1 Intervention
The investigators will produce visual percepts in visual prosthesis patients either by directly stimulating electrodes (using FDA-approved pulse trains), or by asking them to view a computer or projector screen and using standard stimulation protocols (as is standardly used for their devices) to convert the computer or projector screen image into pulse trains on their electrodes. Informed by psychophysical data and computational models, the investigators will test the ability of different stimulus encoding methods to support simple perceptual and behavioral tasks (e.g., object recognition, navigation). These encoding methods may include computer vision and machine learning methods to highlight important objects in the scene or to highlight nearby obstacles and may be tailored to each individual patient.

Find a clinic near you

Research locations nearbySelect from list below to view details:
University of California, Santa BarbaraSanta Barbara, CA
Johns Hopkins UniversityBaltimore, MD
University of Michigan, Ann ArborAnn Arbor, MI
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Who is running the clinical trial?

University of California, Santa BarbaraLead Sponsor
University of MichiganCollaborator
Johns Hopkins UniversityCollaborator
Universidad Miguel Hernandez de ElcheCollaborator

References