AIMC Topic: Professional-Patient Relations
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A Comparison of Responses from Human Therapists and Large Language Model-Based Chatbots to Assess Therapeutic Communication: Mixed Methods Study.
JMIR mental health
May 21, 2025
BACKGROUND: Consumers are increasingly using large language model-based chatbots to seek mental health advice or intervention due to ease of access and limited availability of mental health professionals. However, their suitability and safety for men...
Identification of cultural conversations in therapy using natural language processing models.
Psychotherapy (Chicago, Ill.)
Oct 14, 2024
Researchers have historically focused on understanding therapist multicultural competency and orientation through client self-report measures and behavioral coding. While client perceptions of therapist cultural competency and multicultural orientati...
Leveraging natural language processing to study emotional coherence in psychotherapy.
Psychotherapy (Chicago, Ill.)
Jan 18, 2024
The association between emotional experience and expression, known as emotional coherence, is considered important for individual functioning. Recent advances in natural language processing (NLP) make it possible to automatically recognize verbally e...
Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care.
BMC health services research
Oct 26, 2023
BACKGROUND: Artificial intelligence (AI) is a rapidly evolving field which will have implications on both individual patient care and the health care system. There are many benefits to the integration of AI into health care, such as predicting acute ...
Predicting first session working alliances using deep learning algorithms: A proof-of-concept study for personalized psychotherapy.
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.
Increase of verbal communication by long-term use of transfer-support robots in nursing facilities.
Geriatrics & gerontology international
Dec 16, 2020
Trust in socially assistive robots: Considerations for use in rehabilitation.
Neuroscience and biobehavioral reviews
Jul 23, 2019
Incorporation of social robots into rehabilitation calls for understanding what factors affect user motivation and success of the interaction. Trust between the user and the robot has been identified as important in human-robot interaction and in hum...
Could artificial intelligence make doctors obsolete?
BMJ (Clinical research ed.)
Nov 7, 2018
COMPASS: Computational mapping of patient-therapist alliance strategies with language modeling.
Translational psychiatry
May 15, 2025
The therapeutic working alliance is a critical predictor of psychotherapy success. Traditionally, working alliance assessment relies on questionnaires completed by both therapists and patients. In this paper, we present COMPASS, a novel framework to ...
Association of machine-learning-rated supportive counseling skills with psychotherapy outcome.
Journal of consulting and clinical psychology
Feb 1, 2025
OBJECTIVE: This study applied a machine-learning-based skill assessment system to investigate the association between supportive counseling skills (empathy, open questions, and reflections) and treatment outcomes. We hypothesized that higher empathy ...
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