AI and Psychology — Part 3
In part 3 of our AI and Psychology, we discuss the examples or use cases to know more about how AI has gained popularity when treating mental health.
AI technology that supplements or even replaces the therapist, counselor, or other mental health professional is not in the realm of science fiction or even the near future; it is available now.
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Detection and Computational Analysis of Psychological Signal
The Detection and Computational Analysis of Psychological Signal project analyses language, physical gestures, and social cues to find signs of human discomfort using machine learning, computer vision, and natural language processing.
This innovative tool evaluates soldiers who have just returned from battle and identifies those who need further mental health treatment. In the future, it will integrate information obtained from in-person interviews with details on sleeping, eating, and online habits to create a comprehensive patient view (Defense Applied Research Projects Agency, 2013).
Computer Science and Artificial Intelligence Laboratory
The Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory has utilised AI to scan digital video and find minute variations in a person’s blood flow and heart rate that are imperceptible to the naked eye.
It is very helpful in therapy sessions for identifying nonverbal clues, but it may also be used to keep an eye on small newborns in distress in hospitals or trauma victims’ breathing (Hardesty, 2012).
Watson Health
Watson Health, IBM’s AI-enabled analysis tool, is now commercially available and comes loaded with medical literature to serve as both consultant and medical expert.
The incredible aim of this AI is to bring together data, technology, and expertise to stand in for or supplement professional physical and mental healthcare, performing diagnoses and suggesting treatments (IBM, 2020).
RP-VITA
The RP-VITA robot has been approved by the U.S. Food and Drug Administration to provide remote communication between healthcare providers and patients. It monitors patients’ wellbeing remotely while accessing their medical records.
The system is multidisciplinary, providing support for psychological, neurological, cardiovascular, and critical care assessments and examinations (InTouch Health, 2020).
Mental Health Diagnostic Expert System
The Mental Health Diagnostic Expert System encodes expert knowledge about mental health diseases using cutting-edge AI technology, which it then uses to make diagnoses and suggest treatments.
The AI decides on treatment options that fit patients’ demands, their finances, and other medical issues while using rule-based and fuzzy logic to do so (Masri & Mat Jani, 2012).
The benefits of psychological competence combined with AI-enabled technologies are improving patient care and healthcare. With the cost savings and remote accessibility as added advantages, it is likely to grow quickly.
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