The study aims to investigate the effectiveness of a novel approach in predicting antidepressant treatment outcomes without the need for control groups. This approach utilizes machine learning algorithms to identify patterns in patient data that are indicative of treatment response. The research has the potential to revolutionize the field of psychiatry by providing a more efficient and cost-effective method for predicting treatment outcomes. By leveraging the power of artificial intelligence, this study seeks to improve patient care and outcomes in a meaningful way.