Key result
Deep learning algorithms show potential for classification and outcome prediction in schizophrenia, though methodological concerns and small training datasets limit their current clinical value.
Why the study?
Mechanisms governing schizophrenia remain elusive partly due to a lack of analytic tools for its heterogeneity and complexity, prompting a review of deep learning applications.
Design
Review
Authors
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Should not change clinical practice in schizophrenia; leaves open validation in larger, standardized datasets.
Deep learning shows promise for classification and prediction in schizophrenia research, though current methodological limitations require cautious interpretation of results.
Cortes-Briones et al. (2021) conducted a review in Schizophrenia. Deep learning was evaluated. Deep learning algorithms show potential for classification and outcome prediction in schizophrenia, though methodological concerns and small training datasets limit their current clinical value.
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