Cited by 254Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

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Big data and black-box medical algorithms

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Price, W. Nicholson·2018·Science Translational Medicine

DOI 10.1126/scitranslmed.aao5333PMC PMC6345162

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New machine-learning techniques entering medicine present challenges in validation, regulation, and integration into practice.

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Authors: Price, W. N.
Affiliations: University of Copenhagen (DK)
Corresponding author: Price, W. Nicholson
ORCID: Price, W. Nicholson
Venue: Science Translational Medicine
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2018-12-12
Volume: 10
Issue: 471
ISSN: 1946-6234 (ISSN-L)
1946-6242
DOI: 10.1126/scitranslmed.aao5333
PMC: PMC6345162
OpenAlex: W2905322176
Cited by: 254
References: 12
Citations by year: 2026: 30 · 2025: 36 · 2024: 46 · 2023: 29 · 2022: 38 · 2021: 46 · 2020: 17 · 2019: 12
FWCI: 5.08
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.sciencemag.org/about/science-licenses-journal-article-reuse (vor)
Locations: Science Translational Medicine (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Cancer Institute (1-R01-CA-214829-01-A1)
Novo Nordisk Fonden (NNF17SA0027784)
Topics: Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords: big data, black-box algorithms, machine learning in medicine, algorithm validation, integration into clinical practice, algorithmic transparency
MeSH terms: Machine Learning, Big Data, Algorithms, Social Control, Formal, Reproducibility of Results

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