LAUSR

implications for psychiatrists dealing with the patients directly. BD in MH has been predominantly discussed from a computational and engineering perspective.12 There are no reviews that broaden the knowledge landscape in clinical psychiatry that underpin the basic science of artificial intelligence (AI) for MH, psychiatry epidemiology, and MH policymaking. This article aims to create an easy-tounderstand functional and process model for psychiatrists with little to no knowledge about BD, ML, and AI. The best way to realize this aim is to synthesize knowledge from the existing literature and personal experiences in dealing with clinical data. Therefore, this article was written to provide familiarity with upcoming concepts and trends in BD, AI, and their potential applications for psychiatrists, without delving into the technical jargon. This viewpoint article will also help psychiatrists collaborate with technology counterparts to translate these ideas and concepts for effective clinical applications. Discussion on complex techniques and technology has been