AIMC Topic: Psychotherapists
Clear Filters Showing 1 to 5 of 5 articles
Investigating psychotherapists' attitudes towards artificial intelligence in psychotherapy.
BMC psychology
Jul 1, 2025
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...
Mental health practitioners' perceptions and adoption intentions of AI-enabled technologies: an international mixed-methods study.
BMC health services research
Apr 16, 2025
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...
Potential promises and perils of artificial intelligence in psychotherapy -The AI Psychotherapist (APT).
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...
Freudian robots: Artificial intelligence and psychodynamics.
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.
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.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823