Mental health is a complex field that requires input from multiple disciplines, including psychiatry, psychology, and healthcare. It is important for artificial intelligence researchers to work closely with mental health professionals to ensure that artificial intelligence implications are appropriate and effective to use in this field. The advancement of artificial intelligence in the 21st century has encompassed various aspects of mental healthcare, including early identifications of mental health problems, individualized treatment plans, virtual therapist, advances in teletherapy, and continuous monitoring. Machine learning algorithms can analyse large datasets of patient information, including clinical records, genetic data, and brain imaging scans, to identify patterns and risk factors associated with mental disorders. By integrating this wealth of data, artificial intelligence systems can enhance diagnostic accuracy, assist clinicians in making informed decisions, and potentially enable early detection of mental health conditions. In the context of mental healthcare, where understanding complex human behaviour and emotions is paramount, artificial intelligence offers the pot
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