Cited by 5Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIEmpathy and Medical Education

Compassionate Machines: The Ethics of “Artificial Empathy” in Cancer Care

Koranteng, Erica, Lewis, Anna C. F., Abel, Gregory A.·2024·JAMA Oncology

Abstract

This Viewpoint discusses the ethics of artificial intelligence–generated compassion in cancer care and outlines 4 main points of concern.

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Crossref · 10.1001/jamaoncol.2024.0824

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Authors
Koranteng, E., Lewis, A. C. F., & Abel, G. A.
Affiliations
  • Harvard University (US)
  • Brigham and Women's Hospital (US)
Venue
JAMA Oncology
Published
2024-07-01
Volume
10
Issue
7
Pages
857
ISSN
2374-2437 (ISSN-L)
OpenAlex
W4396576995
Cited by
5
References
0
Citations by year
2026: 2 · 2025: 3
FWCI
0.47
Type
journal article
Language
en
Open access
closed
Locations
  • JAMA Oncology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
Keywords
artificial intelligence, compassion, cancer care, ethics
MeSH terms
Empathy, Humans, Neoplasms, Physician-Patient Relations

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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.

Statistics and arithmetic are recomputed, not judged.

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