Artificial Intelligence to Prevent Suicide by Analyzing Thoughts of Individual

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Researchers revealed use of artificial intelligence technology to identify those at risk of suicide and deliver assistance such individuals

Suicide and self-injury are major concerns of the society. According to the reports, in Canada, 4,000 lives are claimed by suicide annually. New research from Canadian Biomarker Integration Network for Depression collected clinical and biological data during treatment interventions for people with major depression. They were focused on exploring early clues to changes in behavior and mood states using mobile health technologies.

The team aims to identify early predictors of relapse and increased risk of suicidal behavior. Early in 2018, the Public Health Agency of Canada announced a pilot project with Advanced Symbolics, an Ottawa-based AI company. The project predicts regional suicide rates by examining patterns in Canadian social media posts including suicide-related content, although user identity will not be collected. The program uses findings to inform mental health resource planning.

In 2011, Facebook developed a manual suicide reporting system where users could upload screenshots of suicide content for review. Furthermore, Facebook expanded AI capabilities to automatically detect suicide-related content and alert local emergency responders. AI has been used in healthcare to enhance the speed and accuracy of diagnosis and applied to diagnose treatment selection. A new approach to therapy involves conversational bots (or chatbots), which are computer programs designed to simulate human-like conversation using voice or text responses.

Chatbots can deliver psychological interventions for depression and anxiety based on cognitive behavioral therapy (CBT). They respond to presented dialogue, can tailor interventions to a patient’s emotional state and clinical needs. These models are considered quite user-friendly and the user-adapted responses of the chatbot itself have been well reviewed. However, more objective AI strategies are needed to improve outcomes. Suicide is influenced by a variety of psychosocial, biological, environmental, economic and cultural factors. AI can be used to explore

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