Vision problems, including light sensitivity and double vision, are among the most commonly reported symptoms following mild traumatic brain injury (mTBI). While most symptoms resolve within 6 months of mTBI, a substantial number of patients continue to report vision deficits months to years following their initial injuries. A better understanding of the neurobiological bases underlying these chronic symptoms is crucial to develop therapies and treatment plans. Routinely administered treatment is currently based on clinical assessments, which may not always align with self-reported visual disruptions in this population. In this issue of JAMA Ophthalmology, Rasdall and colleagues present a battery of assessments and machine learning approaches to test the ability to diagnose visual dysfunction in patients with a history of mTBI.
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