In recent months, the pervasiveness of artificial intelligence (AI) in the field of precision medicine has continuously progressed. In fact, its influence has not only concentrated in transforming healthcare systems but also revolutionizing the approaches when it comes to diagnosing diseases such as cancer, autism and now, mental health disorders.
Artificial intelligence has indeed proven its potential and significance in various field of sciences. With the integration of AI into the medical field, a promising future awaits the full utilization of data-driven medicine, which was dubbed as healthcare transformation's "next frontier," Parent Herald previously noted.
After proving that artificial intelligence can be useful in the diagnosis of cancer, eye diseases, autism and even in cosmetic medicine, experts found that AI's machine learning approach can potentially assist them in diagnosing mental health disorders such as schizophrenia, depression and bipolar disorders. According to The Atlantic, experts are currently using an Ai-driven software to determine verbal spasms indicative of psychosis, a key sign of schizophrenia.
By developing the artificial intelligence-driven model, researchers accurately predicted a group of young people that would develop psychosis last year. The 2015 AI model reportedly concentrated on determining the prognostic verbal twitches of psychosis such as short sentences, confusing and frequent use of "a," "this" and "that," and a jumbled sense of meaning in sentences.
With that said, NeuroLex Diagnostics CEO and Engineer Jim Schwoebel aims to create an artificial intelligence-based app intended for primary-care physicians to screen patients for schizophrenia. Using the same model last year, the app would be able to search for a transcript of a patient's speech for verbal signs.
In addition, NeuroLex also aims to develop and create an artificial intelligence-driven tool for psychiatric patients who are already in hospitals for treatments. According to Schwoebel, this tool won't only help diagnose mental health disorders from a single sample but would allow experts to examine and track patients' progress through their speech.
Artificial intelligence and machine learning, however, are quite controversial topics to broach in the field of medicine. The reason? Small mistakes, inaccuracies and miscalculations could be catastrophic, especially in mental healthcare.
Meanwhile, it's obviously undeniable that humans have become dependent on artificial intelligence. As a matter of fact, Deccan Chronicle reported that medical doctors could be majorly replaced by artificial intelligence-driven robots who can perform surgeries, increasing the concerns over AI threats to outperform humans.
Curofy co-founder Pawan Gupta, however, stressed that the main purpose of artificial intelligence technology or automation is not to replace doctors. Gupta added that AI only aims to boost the knowledge, intuition and proficiency of medical professionals, The Economic Times quoted.
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