Predicting antidepressant response using artificial intelligence

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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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Are chatbots the answer to minimising inequalities in treatment access?

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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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AI in Dentistry: A Closer Look at Caries Detection

  Key points  Artificial intelligence (AI) models show promise for detecting cavities, but their accuracy varies depending on the method used. AI may be better at detecting early cavities than advanced ones. Professional and dental cameras provide better results than smartphone cameras. Background Dental caries is a widespread problem, and early detection is crucial. While [read the full story…]

Stratified care versus stepped care for depression: which is more effective?

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Sarah Watts reviews a cluster randomised clinical trial investigating the effectiveness of stratified care compared to stepped care for depression, which has implications for IAPT services.

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Patients as “domain experts” in artificial intelligence mental health research

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Simon D’Alfonso summarises an editorial by Sarah Carr, which places the patient as a “domain expert” in artificial intelligence mental health research.

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The science of suicide prevention: Innovative technologies and ethical implications #IASP2019

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Tiago Zortea and Karen Wetherall help us prepare for the 30th World Congress of the International Association for Suicide Prevention #IASP2019, which is taking place in Derry this week. This blog summarises what we know about the potential for digital technologies (smartphones, machine learning and virtual reality) to help improve suicide prevention.

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Conversational agents for mental health apps: now with added artificial empathy

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Matthew Bennion reviews two recent studies that sought to develop artificially empathic conversational agents for use in mental health.

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