We invite you to listen to this one-on-one talk with Dr. Zachary Kaminsky, the DIFD Mach-Gaensslen Chair in Suicide Prevention Research at The Royal’s Institute of Mental Health Research (IMHR).
Dr. Kaminsky’s research is focused on the development of new and innovative ways to predict suicide risk and help lower suicide rates. Using analytics and early intervention strategies, Dr. Kaminsky has pioneered the development of a cutting-edge tool that uses artificial intelligence to identify Twitter users at high risk of suicide.
In this #covidcoffee morning interview hosted by Oliver Kershaw, Dr. Kaminsky announces his partnership and the approach of TryCycle’s digital health platform connecting mental health practitioners with their clients, to optimize case management and direct care where it’s needed most.
“This AI is perfectly placed to be synergistic with TryCycle”, says Dr. Kaminsky. “We want to test this idea to make sure it does what we think it can do. This partnership will take our research into clinical settings, to better understand how this can help and can change outcomes a lot quicker.”
Since people are using social media to publicly share how they are feeling, Dr. Kaminsky’s hope is to use machine learning techniques and data to predict mental health risk before it happens, and help to save lives.