Modeling Mental Health Using Artificial Intelligence for the Optimization of Pharmacotherapy in Depression and Anxiety Disorders

This study explores the potential of applying artificial intelligence (AI) in modeling mental health with the aim of optimizing pharmacotherapy for patients suffering from depression and anxiety disorders. Contemporary machine learning algorithms are examined for their ability to analyze clinical, behavioral, and biological data to personalize treatment and predict therapeutic response. The emphasis is placed on AI’s potential to improve medication selection, reduce the time to achieve effectiveness, and minimize side effects. The study also addresses ethical considerations, data security, and the necessity for human oversight in clinical practice.