The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Overall, evidence suggests that AI chatbots may be effective in alleviating symptoms of depression, anxiety, and stress [45] [46] [47] [48] [49] [50] [51].”
From "I tell him everything that I do": An investigation of privacy and safety implications of AI companion usage (2025) · cites this paper as [45]
In the citing paper
“There is initial evidence that such chatbots may be effective in reducing depressive and anxiety symptoms, as well as stress [33-36].”
From The Opportunities and Risks of Large Language Models in Mental Health (2024) · cites this paper as [33]
Citations
Cites
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61689-4 · Cited by 8,888
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · Communications of the ACM · doi:10.1145/365153.365168 · Cited by 4,452
Jurafsky, D. S., & Martin, J. (2000) · Cited by 4,132
The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013
Steel, Z., Marnane, C., Iranpour, C., Chey, T., Jackson, J. W., Patel, V., & Silove, D. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu038 · Cited by 2,846
ELIZA — a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1983) · Communications of the ACM · doi:10.1145/357980.357991 · Cited by 2,807
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730
Conversational agents in healthcare: a systematic review
Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., et al. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy072 · Cited by 1,388
Whiteford, H. A., Ferrari, A. J., Degenhardt, L., Feigin, V., & Vos, T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116820 · Cited by 1,175
Inkster, B., Sarda, S., & Subramanian, V. (2018) · doi:10.2196/preprints.12106 · Cited by 1,063
Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape
Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. B. (2019) · The Canadian Journal of Psychiatry · doi:10.1177/0706743719828977 · Cited by 1,048
Research works printed but not linked: 1
- Abd-alrazaq AA, Alajlani M, Ali N, Denecke N, Bewickd BM, Househ M (2020a) Patients’ attitudes toward using chatbots for mental health: scoping review. J Med Internet Res
Cited by
Sorted by citations
Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review (Preprint)
Laymouna, M., Ma, Y., Lessard, D., Schuster, T., Engler, K., & Lebouché, B. (2024) · doi:10.2196/preprints.56930 · Cited by 302
Roles, Users, Benefits, and Limitations of Chatbots in Health Care: Rapid Review
Laymouna, M., Ma, Y., Lessard, D., Schuster, T., Engler, K., & Lebouché, B. (2024) · Journal of Medical Internet Research · doi:10.2196/56930 · Cited by 305
Artificial intelligence in positive mental health: a narrative review
Thakkar, A., Gupta, A., & Sousa, A. D. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1280235 · Cited by 329
The Opportunities and Risks of Large Language Models in Mental Health
Lawrence, H. R., Schneider, R. A., Rubin, S. B., Matarić, M. J., McDuff, D. J., & Jones Bell, M. (2024) · JMIR Mental Health · doi:10.2196/59479 · Cited by 235
Khawaja, Z., & Bélisle-Pipon, J.-C. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1278186 · Cited by 214
Metadata
- Authors
- Denecke, K., Abd-Alrazaq, A., & Househ, M.
- Affiliations
- Bern University of Applied Sciences (CH)
- Hamad bin Khalifa University (QA)
- Corresponding author
- Denecke, Kerstin
- Venue
- Lecture Notes in Bioengineering
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 115-128
- ISSN
- 2195-271X (ISSN-L)
- 2195-2728
- OpenAlex
- W3187751556
- Semantic Scholar
- 6a95c8444c9f96afe61474a707f9079ab3ef1266
- Cited by
- 177
- References
- 54
- Citations by year
- 2026: 23 · 2025: 77 · 2024: 46 · 2023: 25 · 2022: 3 · 2021: 2
- FWCI
- 127.39
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in bioengineering (publishedVersion)
- ARBOR - Bern University of Applied Sciences Repository (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- chatbots, mental health, artificial intelligence, natural language understanding, psychoeducation, medication adherence, therapeutic relationship, ethical considerations, digital mental health interventions
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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