The “AI in Mental Health: Global Market Outlook” report has been added to’s offering.
The rise of digital approaches to mental health has led to the development of predictions, detections, and treatment solutions based on artificial intelligence (AI) and machine learning (ML). Digital interventions, especially web and smartphone apps, are incorporating AI to enhance mental health care and optimize the user experience. A modern data stream enables the development of mental health prediction and detection models based on data-driven AI methods.
Despite the surge in depression and anxiety triggered by the pandemic, the suicide problem has not improved. Based on trained data sets, AI algorithms identify people’s behavior and mental activities and assist in suicide prevention. Suicide is prevented by detecting patterns and acting quickly to avoid negative consequences. With the adoption of AI, specialists can understand victims’ mental health and address the problem earlier. In this way, it helps in reducing the number of suicides worldwide. In the field of mental healthcare, AI has been utilized. Currently, AI is being used both in clinician- and customer-marketed apps, but there are many issues with its current implementation, including efficacy,
privacy, and security.

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