ArticleJMIR mental health2024
Considering the Role of Human Empathy in AI-Driven Therapy.
Article in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Integration of cognitive behavioral therapy and mobile health applications among university students with depression: a qualitative study.International journal of qualitative studies on health and well-being · 2026Article
- Large Language Model-Based Behavioral Activation Chatbot for Young People With Depression Using Artificial Users and Clinical Experts: Mixed Methods Evaluation.JMIR mental health · 2026Article
- Anna vs. Judith: A randomized comparison of AI-delivered psychodynamic and cognitive behavioral therapies for social anxiety disorder.Internet interventions · 2026Article
- Understanding University Students' Experiences of Engaging With AI and Apps for Their Mental Health and Well-Being: Qualitative Study.Journal of medical Internet research · 2026Article
- AI and Its Shifting Roles in the Therapeutic Relationship: Implications for Precision Medicine.Journal of personalized medicine · 2026Review
- Care ethics and the transformation of care in an age of artificial intelligence.BMC medical ethics · 2026Article
- Geriatric medicine and its multiple roles in shaping the future of health care.European geriatric medicine · 2026Article
- Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient's Perspective: Exploratory Qualitative Study.JMIR formative research · 2026Article
- Empathic AI for Patient-Centered Cancer Care: A Scoping Review of Patient Navigation, Support, and Clinical Practice.JMIR cancer · 2026Article
- Where Can Artificial Intelligence Assist Cancer Care?: Examining Patient-Centered Communication Dimension Effects.Health services research · 2026Article
- Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review.JMIR mental health · 2026Article
- Designing AI for distress: an iterative case study of a hierarchical agent for psychosocial support.Frontiers in artificial intelligence · 2026Article
- Article
- Never say never: exploring the effects of knowledge availability on agent persuasiveness in controlled physiotherapy motivation dialogues.Frontiers in artificial intelligence · 2026Article
- Ethical aspects of the application of artificial intelligence in psychiatry.Postepy psychiatrii neurologii · 2025Review
- Comparing the value of perceived human versus AI-generated empathy.Nature human behaviour · 2025Article
- Mentalizing Without a Mind: Psychotherapeutic Potential of Generative AI.Journal of medical Internet research · 2025Article
- An Examination of Generative AI Response to Suicide Inquires: Content Analysis.JMIR mental health · 2025Article
- Assessing ChatGPT responses to patient questions on epidural steroid injections: A comparative study of general vs specific queries.Interventional pain medicine · 2025Article
- Prompts, privacy, and personalized learning: integrating AI into nursing education-a qualitative study.BMC nursing · 2025Article
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Authors and funding
4 authors.
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Abstract
Recent breakthroughs in artificial intelligence (AI) language models have elevated the vision of using conversational AI support for mental health, with a growing body of literature indicating varying degrees of efficacy. In this paper, we ask when, in therapy, it will be easier to replace humans and, conversely, in what instances, human connection will still be more valued. We suggest that empathy lies at the heart of the answer to this question. First, we define different aspects of empathy and outline the potential empathic capabilities of humans versus AI. Next, we consider what determines when these aspects are needed most in therapy, both from the perspective of therapeutic methodology and from the perspective of patient objectives. Ultimately, our goal is to prompt further investigation and dialogue, urging both practitioners and scholars engaged in AI-mediated therapy to keep these questions and considerations in mind when investigating AI implementation in mental health.
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Registered trials
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