Cited by 170Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AIEthics and bioethics in healthcare

Artificial intelligence in healthcare and medicine: promises, ethical challenges and governance

Open access
Guan, Jian·2019·Chinese Medical Sciences Journal

Abstract

Artificial intelligence (AI) is rapidly being applied to a wide range of fields, including medicine, and has been considered as an approach that may augment or substitute human professionals in primary healthcare. However, AI also raises several challenges and ethical concerns. In this article, the author investigates and discusses three aspects of AI in medicine and healthcare: the application and promises of AI, special ethical concerns pertaining to AI in some frontier fields, and suggestive ethical governance systems. Despite great potentials of frontier AI research and development in the field of medical care, the ethical challenges induced by its applications has put forward new requirements for governance. To ensure "trustworthy" AI applications in healthcare and medicine, the creation of an ethical global governance framework and system as well as special guidelines for frontier AI applications in medicine are suggested. The most important aspects include the roles of governments in ethical auditing and the responsibilities of stakeholders in the ethical governance system.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.24920/003611

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Researchers in healthcare can use Machine Learning and Artificial Intelligence to create various designs and assess the practicality without endangering the lives of human volunteers.

    “Researchers in healthcare can use Machine Learning and Artificial Intelligence to create various designs and assess the practicality without endangering the lives of human volunteers [131,132].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. Jonsen AR, Siegler M, Winslade WJ. Clinical Ethics. New York, NY, USA: McGraw-Hill; 2006.
  2. Burwell S, Sample M, Racine E. Ethical aspects of brain computer interfaces: a scoping review. BMC Med Ethics 2017;18(1):60. doi: 10.1186/s12910-017- 0220-y. · DOI
  3. Winfield AFT, Jirotka M. Ethical governance is es- sential to building trust in robotics and artificial in- telligence systems. Philos Trans A Math Phys Eng Sci 2018; 376(2133):20180085. doi:10.1098/ rsta.2018.0085. · DOI · Paper page

Cited by

Sorted by citations

Authors
Guan, J.
Affiliations
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Corresponding author
Guan, Jian
Venue
Chinese Medical Sciences Journal
Publisher
Elsevier BV
Published
2019-06
Volume
34
Issue
2
Pages
76-83
ISSN
1001-9294 (ISSN-L)
OpenAlex
W2959065917
Cited by
170
References
34
Citations by year
2026: 19 · 2025: 27 · 2024: 36 · 2023: 37 · 2022: 22 · 2021: 19 · 2020: 10
FWCI
4.06
Type
journal article
Language
en
Open access
Locations
  • Chinese Medical Sciences Journal (publishedVersion, cc-by-nc-nd)
  • 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 › Public Health, Environmental and Occupational Health › Ethics and bioethics in healthcare
Keywords
artificial intelligence in healthcare, AI ethics, ethical governance, trustworthy AI, ethical auditing, role of the state, stakeholder responsibility, primary care
MeSH terms
Artificial Intelligence, Delivery of Health Care, Humans

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