The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Development of a practical training method for a healthcare artificial intelligence (AI) chatbot
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In the citing paper
“While there are initial reports of patient engagement and satisfaction with AI being used in healthcare settings, the human component is still a crucial part of the process [127,128,129].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [128]
In the citing paper
“A conversational AI chatbot developed as part of a postpartum support program piloted at a hospital in the USA [128] received high levels of engagement (more than 98% of patients asked at least one question) and accuracy (over 70% of questions answered correctly) [129].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [128]
Citations
Cites
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Implementing Machine Learning in Health Care — Addressing Ethical Challenges
Char, D. S., Shah, N. H., & Magnus, D. (2018) · New England Journal of Medicine · doi:10.1056/nejmp1714229 · Cited by 1,857
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
Covid-19 and Health Care’s Digital Revolution
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(2018) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002633 · Cited by 1,090
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Evaluating Quality of Chatbots and Intelligent Conversational AgentsPreprint
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Evaluating and Informing the Design of Chatbots
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The fourth trimester: A critical transition period with unmet maternal health needs
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Technical metrics used to evaluate health care chatbots: scoping review
Abd-Alrazaq, A., Safi, Z., Alajlani, M., Warren, J., Househ, M., & Denecke, K. (2020) · Journal of Medical Internet Research · doi:10.2196/18301 · Cited by 150
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Feedpal: Understanding Opportunities for Chatbots in Breastfeeding Education of Women in India
Yadav, D., Malik, P., Dabas, K., & Singh, P. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359272 · Cited by 90
Trust in medical technology by patients and healthcare providers in obstetric work systems
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Asked and Answered: Building a Chatbot to Address Covid-19-Related Concerns
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Use of Text Messaging for Postpartum Depression Screening and Information Provision
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The postpartum visit--why wait 6 weeks?
Piejko, E. (2006) · PubMed · Cited by 28
Feasibility of perinatal mood screening and text messaging on patients’ personal smartphones
La Porte, L. M., Kim, J. J., Adams, M. G., Zagorsky, B. M., Gibbons, R., & Silver, R. K. (2020) · Archives of Women's Mental Health · doi:10.1007/s00737-019-00981-5 · Cited by 22
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Research works printed but not linked: 1
- Yu Z , Xu Z , Black AW , et al . Chatbot evaluation and database expansion via crowdsourcing. Proc Chatbot Workshop LREC 2016;63.
Cited by
Sorted by citations
Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review
Graca, S., Alloh, F., Lagojda, L., Dallaway, A., Kyrou, I., Randeva, H. S., & Kite, C. (2024) · Healthcare · doi:10.3390/healthcare12161671 · Cited by 14
Metadata
- Authors
- Lin, J., Joseph, T., Parga-Belinkie, J. J., Mandel, A., Schumacher, R., Neumann, K., Scalise, L., Gaulton, J., Christ, L., Leitner, K., & Rosin, R.
- Affiliations
- University of Pennsylvania Health System (US)
- Memora Health, San Francisco, California, USA
- Children's Hospital of Philadelphia (US)
- Hospital of the University of Pennsylvania (US)
- Thomas Jefferson University Hospital (US)
- Corresponding author
- Lin, Julia
- ORCID
- Venue
- BMJ Innovations
- Publisher
- BMJ
- Published
- 2020-12-15
- Volume
- 7
- Issue
- 2
- Pages
- 441-444
- ISSN
- 2055-642X (ISSN-L)
- 2055-8074
- OpenAlex
- W3111373996
- Cited by
- 13
- References
- 22
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 1
- FWCI
- 0.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- BMJ Innovations (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Education › Simulation-Based Education in Healthcare
- Keywords
- healthcare chatbots, artificial intelligence in healthcare, training method development, chatbot training, chatbots
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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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