Chatbot News Daily
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There are many barriers to getting quality mental healthcare, from searching for a provider who practices in a user's geographical location to screening multiple potential therapists in order to find someone you feel comfortable speaking with. The stigma associated with seeking mental health treatment often leaves people silently suffering from a psychological issue. These barriers stop many people from finding help and AI is being looked at a potential tool to bridge this gap between service providers and service users.
Imagine how many people would be benefitted if artificial intelligence could bring quality and affordable mental health support to anyone with an internet connection. A psychiatrist or psychologist examines a person’s tone, word choice, and the length of a phrase etc and these are all crucial cues to understanding what’s going on in someone’s mind. Machine learning is now being applied by researchers to diagnose people with mental disorders. Harvard University and University of Vermont researchers are working on integrating machine learning tools and Instagram to improve depression screening. Using color analysis, metadata, and algorithmic face detection, they were able to reach 70 percent accuracy in detecting signs of depression. The research wing at IBM is using transcripts and audio from psychiatric interviews, coupled with machine learning techniques, to find patterns in speech to help clinicians accurately predict and monitor psychosis, schizophrenia, mania, and depression. A research, led by John Pestian, a professor at Cincinnati Children’s Hospital Medical Centre showed that machine learning is up to 93 percent accurate in identifying a suicidal person.
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