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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Robert Meadows considers the findings of a recent paper on the use of artificial intelligence chatbots in increasing self-referrals to mental health services.
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In Joseph Lam’s debut blog he explores a recent research paper which uses an electronic dataset to investigate the relationship between insight and service use in first episode psychosis.
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Farhana Mann summarises an observational study of mood instability in people with mental illness, which explores its relationship with days spent in hospital, frequency of admissions, the likelihood of being sectioned and the chance of being prescribed antipsychotics and mood stabilisers.
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