BACKGROUND: Large language models (LLMs) have rapidly advanced across numerous fields, including mental health care. A shortage of trained therapists and mental health care providers has driven informal use of LLMs for therapeutic support. However, t...
BACKGROUND: The increasing prevalence of mental health disorders, compounded by a global shortage of psychotherapists, highlights the need for innovative solutions such as Artificial Intelligence (AI) or Machine Learning (ML) applications. These tech...
BACKGROUND: As mental health disorders continue to surge, exceeding the capacity of available therapeutic resources, the emergence of technologies enabled by artificial intelligence (AI) offers promising solutions for supporting and delivering patien...
The facilitative interpersonal skills (FIS) task is a performance-based task designed to assess clinicians' capacity for facilitating a collaborative relationship. Performance on FIS is a robust clinician-level predictor of treatment outcomes. Howeve...
Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists
Sep 29, 2024
OBJECTIVE: Since the release of ChatGPT, popular demand has driven the use of social chatbots as pseudo-AI psychotherapists. With time, it is inevitable that these technologies will be deployed in some form as dedicated psychotherapy interventions. H...
Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists
Jul 24, 2023
OBJECTIVE: Artificial intelligence (AI) is rapidly developing, particularly human-interacting and affective AI systems. Psychodynamic concepts important to human development should be considered in the development of AI systems.
Psychotherapy research : journal of the Society for Psychotherapy Research
May 30, 2022
OBJECTIVE: The aim of this proof-of-concept study is to develop a predictive model based on deep learning algorithms to predict working alliances after the first therapeutic session and to provide a basis for clinical decisions.
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