Machine-Learning Classification of Schizophrenia Using Automated Retinal-Imaging Analysis: A Pilot Study

Background

Schizophrenia is a debilitating disorder that exacts a heavy burden on sufferers and carers alike. Despite improvements in neuroimaging techniques in the past decades, schizophrenia has lacked a clear definition at the neuroanatomical level. The presence of diagnostic markers may lead to breakthroughs with our current phenomenological approach to schizophrenia, assisting with diagnosis and monitoring of the disease. Prior study findings suggest structural retinal changes in schizophrenia, including retinal-layer thinning and microvascular changes.