A 28-predictor model using routine mental health records correctly identified risk for psychotic or bipolar disorders around 80% of the time, outperforming existing assessment tools in a study of 127,000 people.
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High misdiagnosis rates between bipolar and major depressive disorder cause real harm to patients and services. This new neuroimaging study tested whether brain connectivity and machine learning could do a better job of telling the two apart, with interesting but limited results.
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In her debut blog (and the Mental Elf’s first body-focused repetitive behaviours blog), Mallory Moore summarises a systematic review investigating whether internalised stigma can predict depression.
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Amy Ferguson summarises a recent study published by researchers in Birmingham, which suggests that persistent shorter sleep in childhood may increase the risk of psychotic experiences.
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Holly Fraser discusses new findings on whether and how we can predict antidepressant response using artificial intelligence.
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