aspg-41-4418-1792223352 20261017074912 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Metaheuristic Optimization Review MOR 3066-280X 2026 7 1 Dimitrios Karras General Department, National and Kapodistrian University of Athens, Athens, Greece Andres Annuk Institute of Forestry and Engineering, Estonian University of Life Sciences, Tartu, Estonia AI rapidly impacts the neurological and psychological sciences, both positive and negative, as more AI techniques are developed. This review will examine how reformative AI can improve mental health care and neuropsychological evaluations. Cognitive tools, including machine learning systems and therapeutic bots, are changing the approach to treatment and, in particular, the diagnosis of diseases. For example, early intervention in a mental health condition can be conducted when AI presents the results from a large data set where the disease may be concealed. Nevertheless, using AI also causes ethical concerns such as privacy, data pre-processing bias, and, obviously, the concern of validation. Since AI is a rapidly expanding field, it has essential consequences meant to be enacted to govern its safety and efficiency in usage in the clinical area. The future area of research should be aimed at minimizing the divergence between technical potentiality and clinical application of the developed AI so that the decision support is complementary to the existing stock of human expertise. The following review will discuss the current trends, issues, and prospects of neurological and psychological AI applications, focusing on the concept that interdisciplinary cooperation can fully unlock the potential of these developments while recognizing the potential issues. In this way, we must work together for a new era of mental health care that is evidence-based but also ethically sound. 2026 01 07 4418 https://creativecommons.org/licenses/by/4.0/ 10.54216/MOR.070101 https://americaspg.com/journal/41/article/4418 https://americaspg.com/storage/articles/manuscripts/01M2K8GX7FT30XV9RYP7CXFDAV.pdf