Research graph
References from Liability and Standard of Care in AI-Driven Psychiatric Practice: European Viewpoint. Local targets link to admitted publications; unresolved targets remain external evidence.
Evidence, ethics and the promise of artificial intelligence in psychiatry
10.1136/jme-2022-108447 · External reference
Artificial intelligence for mental health and mental illnesses: an overview
10.1007/s11920-019-1094-0 · External reference
Machine learning in mental health: a scoping review of methods and applications
10.1017/s0033291719000151 · External reference
Use of AI in mental health care: community and mental health professionals survey
10.2196/60589 · External reference
Psychiatry in the age of AI: transforming theory, practice, and medical education
10.3389/fpubh.2025.1660448 · External reference
iHealth: the ethics of artificial intelligence and big data in mental healthcare
10.1016/j.invent.2022.100518 · External reference
A shift in psychiatry through AI? Ethical challenges
10.1186/s12991-023-00476-9 · External reference
Machine learning in mental health: a systematic review of the HCI literature to support the development of effective and implementable ML systems
10.1145/3398069 · External reference
Ethical aspects of the application of artificial intelligence in psychiatry
10.5114/ppn.2025.156785 · External reference
Your robot therapist will see you now: ethical implications of embodied artificial intelligence in psychiatry, psychology, and psychotherapy
10.2196/13216 · External reference
Too human and not human enough: a grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika
10.1177/14614448221142007 · External reference
To chat or bot to chat: ethical issues with using chatbots in mental health
10.1177/20552076231183542 · External reference
Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots
10.3389/fdgth.2023.1278186 · External reference
Liability for harm caused by AI in healthcare: an overview of the core legal concepts
10.3389/fphar.2023.1297353 · External reference
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Relational epistemic humility in the clinical encounter
10.1136/jme-2024-110241 · External reference
Enhancing mental health with artificial intelligence: current trends and future prospects
10.1016/j.glmedi.2024.100099 · External reference
Regulating AI in mental health: ethics of care perspective
10.2196/58493 · External reference
: a survey among Italian psychiatrists on defensive medicine and professional liability
10.3389/fpsyt.2023.1244101 · External reference
Predictors of defensive practices among Italian psychiatrists: additional findings from a national survey
10.3390/medicina59111928 · External reference
Human–AI interactions in public sector decision making: “Automation bias” and “selective adherence” to algorithmic advice
10.1093/jopart/muac007 · External reference
Ethical decision-making for AI in mental health: the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework
10.1017/s0033291725101311 · External reference
Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
10.1038/s44184-024-00056-z · External reference
Balancing risks and benefits: clinicians’ perspectives on the use of generative AI chatbots in mental healthcare
10.3389/fdgth.2025.1606291 · External reference
The augmented clinician as a framework for human-AI collaboration in mental healthcare
10.3389/fpsyt.2026.1729175 · External reference
The role of humanization and robustness of large language models in conversational artificial intelligence for individuals with depression: a critical analysis
10.2196/56569 · External reference
Chatbots and conversational agents in mental health: a review of the psychiatric landscape
10.1177/0706743719828977 · External reference
An overview of the features of chatbots in mental health: a scoping review
10.1016/j.ijmedinf.2019.103978 · External reference
An ethical perspective on the democratization of mental health with generative AI
10.2196/58011 · External reference
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Effectiveness and safety of using chatbots to improve mental health: systematic review and meta-analysis
10.2196/16021 · External reference
Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being
10.1038/s41746-023-00979-5 · External reference
Artificial intelligence and suicide prevention: a systematic review
10.1192/j.eurpsy.2022.8 · External reference
Predicting risk of suicide attempts over time through machine learning
10.1177/2167702617691560 · External reference
Predicting suicidal behavior from longitudinal electronic health records
10.1176/appi.ajp.2016.16010077 · External reference
Natural language processing of social media as screening for suicide risk
10.1177/1178222618792860 · External reference
Artificial intelligence and suicide prevention: a systematic review of machine learning investigations
10.3390/ijerph17165929 · External reference
AI-enabled suicide prediction tools: ethical considerations for medical leaders
10.1136/leader-2020-000275 · External reference
Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum
10.1001/jamainternmed.2023.1838 · External reference
