In this news:
Generative AI tested on being able to do schizophrenia diagnosis and long-term prognosis comes out ... More with flying colors.
In today’s column, I am continuing my ongoing series about the impact of generative AI in the health and medical realm. The focus this time is once again on the mental health domain and involves a close exploration of using generative AI to diagnose the presence of schizophrenia and then postulate a long-term prognosis of what future mental health outcomes will arise for the person so diagnosed.
I have previously examined numerous interleaving facets of generative AI and mental health, see my comprehensive overview at the link here. You might also find of notable interest a CBS 60 Minutes episode that examined crucial facets of this evolving topic, see the link here (I am honored and pleased to indicate that I was interviewed and featured in the episode, see the link here).
Other vital background includes my in-depth coverage of mental health chatbots which have been bolstered by generative AI (see the link here) and the rapidly changing nature of the client-therapist relationship due to generative AI at the link here. I explored where things are headed regarding the levels of AI-based mental therapy autonomous guidance at the link here, and showcased the importance of the World Health Organization (WHO) report on global health and generative AI at the link here, and so on.
Let’s unpack today’s focus.
Assessing Mental Health
Immerse yourself in a quick scenario.
Suppose that a person showcases various mental symptoms that suggest they might be schizophrenic. We get a mental health professional involved. The mental health professional tries to dutifully diagnose the person and reaches a tentative conclusion that the person does indeed appear to reflect a significant presence on the schizophrenia spectrum.
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