Cited by 28Artificial Intelligence in Healthcare and EducationMobile Health and mHealth ApplicationsAI in Service Interactions

Novel Use of Chatbot Technology to Educate Patients Before Breast Biopsy

Chetlen, Alison, Artrip, Rick, Drury, Brian, Arbaiza, Anthony, Moore, Michael·2019·Journal of the American College of Radiology

Integrity signals

Registry

Crossref · 10.1016/j.jacr.2019.05.050

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chetlen, A., Artrip, R., Drury, B., Arbaiza, A., & Moore, M.
Affiliations
  • Penn State Milton S. Hershey Medical Center (US)
  • Pennsylvania State University (US)
Corresponding author
Chetlen, Alison
Venue
Journal of the American College of Radiology
Publisher
Elsevier BV
Published
2019-09
Volume
16
Issue
9
Pages
1305-1308
ISSN
1546-1440 (ISSN-L)
OpenAlex
W2971715191
Cited by
28
References
1
Citations by year
2026: 3 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 3 · 2021: 3 · 2020: 2 · 2019: 1
FWCI
0.73
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American College of Radiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Penn State Radiology
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
chatbots, breast biopsy, patient education, pre-procedure information, touch screen tablets, frequently asked questions, patient-provider communication, breast imaging
MeSH terms
Biopsy, Needle, Breast Neoplasms, California, Female, Humans, Immunohistochemistry, Patient Education as Topic, Pilot Projects, Surveys and Questionnaires, Sensitivity and Specificity, Internet, Information Dissemination

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review