We recently reviewed the scientific literature linking dopamine agonist pharmacotherapy for neurological disorders to the development of impulsive and compulsive spectrum disorders (ICSDs). 

This article delves into the groundbreaking applications of artificial intelligence (AI) in psychiatry, revolutionizing the field and improving patient care. AI technologies have shown immense potential in augmenting diagnostic accuracy, predicting treatment outcomes, and facilitating personalized therapeutic interventions. This article reviews the latest advancements and discusses the ethical considerations associated with AI integration in psychiatric practice.

This essay discusses a shift in the priorities in the psychiatric community over the past several decades from one that focuses upon the relief of suffering toward one that emphasizes harm reduction and danger prevention. The essay reviews the various forces that have driven this evolution including legal decisions that have limited grounds for admission to dangerousness, models of care that emphasize “zero suicide,” a rise in liability for outpatient suicide and the resulting practice of defensive medicine.

Many adults with intellectual disabilities have serious behavioral problems, sometimes requiring medical intervention. To this end, it is essential to improve the medical care of this population because there is a very large disparity in the care offered to them compared to the general population. Challenging behaviors constitute a real challenge in supporting people with severe intellectual disabilities, which can cause great difficulty for individuals, institutions and psychiatric services.

The use of generative artificial intelligence (AI) in psychiatric practice is becoming increasingly prevalent; however, some professionals still refuse to adopt AI tools. This study analyzes the attitudes of five psychiatrists who do not use AI and explores the reasons behind their decision. Case series, 5 cases. Respondents were answering a structured questionnaire addressing trust in AI, ethical dilemmas, potential risks, and institutional support. The main reasons for not using AI include a lack of trust in information provided by AI, fear of perpetuating biases or discrimination in decision making processes.