Artificial intelligence, chatbots, and the future of medicine
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
CAs are especially well suited for cancer, particularly in the context of health education.
“Although CAs have significant potential for medicine overall, they are especially well suited for cancer (Greene et al. 2019), particularly in the context of health education.”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Greene et al. 2019
Conversational agents empower healthcare providers to work more effectively and improve the experience of patients.
“they empower healthcare providers to work more effectively and improve the experience of patients (Greene et al. 2019).”
From The Usability and Experience of Artificial Intelligence‐Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review (2026) · cites this paper as Greene et al. 2019
Cited by
Sorted by citations
Li, K., Wu, S., Zhang, Y., Zhu, B., Qi, Z., Hou, S., & Wang, W. (2026) · Journal of Clinical Nursing · doi:10.1111/jocn.70020 · Cited by 10 · see citing works
- Authors
- Greene, A., Greene, C. C., & Greene, C.
- Affiliations
- Lucile Packard Children's Hospital (US)
- University of California, San Francisco (US)
- Corresponding author
- Greene, Alan
- Venue
- The Lancet Oncology
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 20
- Issue
- 4
- Pages
- 481-482
- ISSN
- 1470-2045 (ISSN-L)
- OpenAlex
- W2931993265
- Cited by
- 23
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 2
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Lancet Oncology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Social Sciences › Health › Social Media in Health Education
- Keywords
- artificial intelligence in healthcare, chatbots, online health information, patient access to health information, health information literacy, future of medicine
- MeSH terms
- Artificial Intelligence, Confidentiality, Humans, Medical Oncology, Medicine, Information Dissemination, Health Communication, Standard of Care
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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