Key points are not available for this paper at this time.
Abstract Background Artificial intelligence (AI) has made significant advances in recent years, and its applications in psychiatry have gained increasing attention. The use of AI in psychiatry offers the potential to improve patient outcomes and provide valuable insights for healthcare workers. However, the potential benefits of AI in psychiatry are accompanied by several challenges and ethical implications that require consideration. In this review, we explore the use of AI in psychiatry and its applications in monitoring mental illness, treatment, prediction, diagnosis, and deep learning. We discuss the potential benefits of AI in terms of improved patient outcomes, efficiency, and cost-effectiveness. However, we also address the challenges and ethical implications associated with the use of AI in psychiatry, including issues of accuracy, privacy, and the risk of perpetuating existing biases in the field. Results This is a review article, thus not applicable. Conclusion Despite the challenges and ethical implications of using AI in psychiatry, the potential benefits of this technology cannot be ignored. Further research and development are required to address the limitations and ensure the safe and ethical integration of AI in the field of psychiatry. By doing so, AI has the potential to greatly improve patient outcomes and enhance the delivery of mental healthcare services.
Terra et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: