This review elucidates the transformative impact of artificial intelligence (AI) on the diagnosis and management of prevalent mental health conditions. It highlights real world applications that are currently augmenting clinical decisions and refining therapeutic strategies, moving the field beyond traditional, subjective paradigms. Furthermore, this paper projects a future in which the confluence of AI and brain computer interfaces (BCIs) will catalyze revolutionary treatment paradigms, building upon precursors like deep brain stimulation. As neurotechnology continues its rapid advancement, AI is poised to evolve from a sophisticated decision support tool into an active therapeutic agent, directly integrated with the human brain. This synergy promises to usher in an era of precision mental healthcare, characterized by personalized, proactive, and highly effective interventions. This exploration also critically examines the profound ethical and societal challenges that must be navigated to ensure this technological evolution serves humanity equitably and responsibly.
Deshmukh et al. (Fri,) studied this question.
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