Background
depressive disorder, sepsis, MDD
SEPSIS
In psychiatry, CSTs are being developed to assess and monitor symptoms of mental illness and provide targeted or personalised care. A major challenge in major depressive disorder (MDD) is related to the selection of treatment. Various pharmacological and psychosocial treatments for MDD are available, but it is unclear which treatments work best for which patients. Researchers are training machine learning models on clinical data to predict treatment response in MDD, with the aim of developing AI-based CSTs that can match patients with optimal treatments [Given efforts to integrate AI into clinical decision support, there is a need for empirical research into how the users of this technology, like psychiatrists, will interact with it. AI applications in healthcare are anticipated to be collaborative, with clinicians consulting AI to inform assessment or care [There is concern that clinicians may over-rely on AI-based recommendations, even if they are incorrect. According to one qualitative study, perceptions of a deployed AI-based CST for assessing the risk of sepsis were generally positive, but nurses and physicians expressed concerns that over time, clinicians would rely less on their judgement and default to the tool’s recommendation [Paired with concerns emerging from qualitative research [