Cited by 137Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareMachine Learning in Healthcare

Artificial intelligence in medicine: what is it doing for us today?

Becker, Aliza·2019·Health Policy and Technology

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Crossref · 10.1016/j.hlpt.2019.03.004

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  • AI used in healthcare can serve clinicians, patients, and other healthcare workers in four ways: assessment of disease onset and treatment success; management or alleviation of complications; patient-care assistance during a treatment or procedure; research aimed at discovery or treatment of disease.

    “A review by Becker [62] suggests that AI used in healthcare can serve clinicians, patients, and other healthcare workers in four different ways. Here, we will use these suggestions as inspirations and will expand on their contribution toward a successful implementation of AI in healthcare: (Fig. 2.9 )1.Assessment of disease onset and treatment success.2.Management or alleviation of complications.3”

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References 131 · Cited by 137

Authors
Becker, A.
Affiliations
George Washington University (US)
Corresponding author
Becker, Aliza
Venue
Health Policy and Technology
Publisher
Elsevier BV
Published
2019-06
Volume
8
Issue
2
Pages
198-205
ISSN
2211-8837 (ISSN-L)
OpenAlex
W2928955081
Cited by
137
References
131
Citations by year
2026: 5 · 2025: 18 · 2024: 34 · 2023: 21 · 2022: 25 · 2021: 20 · 2020: 12 · 2019: 2
FWCI
4.77
Type
journal article
Language
en
Open access
closed
Locations
Health Policy and Technology (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
Keywords
artificial intelligence in healthcare, machine learning applications, disease risk prediction, complication management, pathology research

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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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