Could AI Help Us Hear the Echoes of Suicide? | Dr Arokia Antonysamy | TEDxSurreyUniversity

Quick Overview

Artificial Intelligence (AI) can strengthen suicide safety nets by recognizing subtle behavioral changes in patients, such as shifts in sleep patterns, language usage, color perception, and social withdrawal, providing gentle intervention reminders, and issuing clinical alerts, ultimately offering patients more time for recovery and increasing access to care, even if it cannot eliminate the pain of mental illness.

Key Points: AI offers promise in suicide prevention by recognizing subtle behavioral changes, including shifts in sleep, language, color perception, and social withdrawal. The speaker shares the story of 'Tom,' a patient who appeared outwardly fine but was later found to be suicidal, highlighting the limitations of human observation. AI can provide gentle intervention and clinical alerts, offering patients more time (like the extra time Tom gained) to seek help before a crisis. The speaker emphasizes that AI is not a substitute for clinicians but a tool to augment their capabilities, especially for patients on waiting lists. Three primary vulnerable groups identified for suicide risk are Adolescents/Young Adults (15-24 yrs), Middle Aged People (40-54 yrs), and the Elderly (75+ yrs). The goal is to use AI to augment clinical assessment, enabling clinicians to focus on high-risk cases and provide personalized, timely support. The ultimate choice remains human: deciding how and when to deploy AI tools to maximize their effectiveness without creating new dependencies.

Context: Dr. Arokia Antonysamy, a psychiatrist with over 20 years of experience, presents her work on leveraging Artificial Intelligence (AI) to improve mental health support and suicide prevention. She introduces a case study of a patient named 'Tom,' who, despite appearing functional to staff, was struggling profoundly, demonstrating the challenge clinicians face in detecting subtle signs of distress, particularly when patients mask their true feelings with phrases like 'I'm fine.' The talk explores the potential for AI to act as an early warning system.