Artificial Intelligence In Mental Health Care
Could the advancement of machine and deep learning algorithms be harnessed meaningfully in the area of mental health? Could depression, bipolar disorder, schizophrenia, or any other mental disorder be quantified so that technology could somehow add positively to their diagnostics or treatment? We tried to explore the uses of artificial intelligence in mental health care, and stumbled upon smart algorithms that support clinicians with early detection and diagnostics of mental health issues, with the flagging of suicide risks, and other ones that help patients manage their condition through counselling and constantly being there for them.
Could mental health become quantifiable?
While preparing our article about the future of psychiatry, we realized that one of the most exciting and
controversial intersections of mental health and technology is the attempt to
place artificial intelligence into psychology and psychiatry. Machine learning and deep learning algorithms are based on ‘hard core’ physical datasets: lesions
spotted on X-ray images, CT scans, or malignant tissue samples. How could the
achievements of artificial narrow intelligence and its two most advanced
fields, computer vision and natural language processing be applied in such a
fluidly classifiable field as mental health disorders?
Let’s approach the difficult question from looking at areas where smart algorithms excel: classification and clustering data coming from images, written or spoken text and...
Source: The Medical Futurist - Category: Information Technology Authors: Rozina Bura Tags: Future of Medicine AI artificial intelligence bipolar disorder chatbots future of psychiatry mental disorder mental health mental health disorders mental health issues moodkit pacifica schizophrenia suicide thriveport woebot Source Type: blogs
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