AI and the new perspectives in the clinical-therapeutic approach to psychiatric patients

Artificial intelligence (AI) is one of the most innovative technologies of our time, with a wide range of applications in the medical field. In psychiatry – where subjective experience and the complexity of human factors play a central role – AI opens new avenues for optimizing diagnosis, personalizing treatment and continuously monitoring patients. This presentation aims to highlight the ways in which artificial intelligence can influence psychiatric practice, examining both the clinical and research-based benefits, while also addressing the limitations, risks and ethical responsibilities associated with the use of these emerging technologies. We emphasize the importance of integrating AI tools into psychiatric care, from early diagnosis and individualized treatment plans to relapse prevention and supporting patients in remission. Moreover, we explore how concepts such as the “metaverse” and virtual reality may contribute to the therapeutic management of various psychiatric conditions. The discussion includes the potential impact of these technologies on disorders such as major depression, generalized anxiety disorder, post-traumatic stress disorder (PTSD), schizophrenia, autism spectrum disorder and neurodegenerative diseases. Additionally, we reflect on patients’ perceptions regarding the use of AI in improving diagnostic accuracy, therapeutic outcomes and the maintenance of remission. Looking ahead, further research is needed to assess the reliability and effectiveness of AI applications in psychiatric care. Crucially, as these technologies evolve, preserving the therapeutic doctor-patient relationship remains a fundamental pillar in ensuring the success and humanity of mental health interventions.