Unleashing Ethical Issues in Neurodisorder Diagnosis: Computational Intelligence Towards Compassionate Psychiatric Treatment

Unleashing Ethical Issues in Neurodisorder Diagnosis: Computational Intelligence Towards Compassionate Psychiatric Treatment

Bhupinder Singh (Sharda University, India), Christian Kaunert (Dublin City University, Ireland), Rishabha Malviya (Galgotias University, India), Manmeet Kaur Arora (Sharda University, India), and Sahil Lal (Sharda University, India)
DOI: 10.4018/979-8-3693-3176-7.ch009
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Abstract

The advancements in computational intelligence have revolutionized the diagnosis of neurodisorders, paving the way for more precise and personalized psychiatric therapy. However, this progress raises significant ethical concerns and requires careful consideration. With integrating machine learning and AI into neurodisorder diagnosis and treatment, computational intelligence is set to enhance diagnostic accuracy and enable more individualized care plans, allowing for earlier interventions. The methodological innovations in the computational intelligence techniques have revolutionized some aspects of neurodisorder diagnosis which, according to evidence, should be considered especially by providing a more accurate and personalized psychiatric treatment. But this advance also raises crucial ethical issues that need to be addressed with caution.
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