How to regulate evolving AI health algorithms

Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.

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Vydané v:Nature medicine Ročník 29; číslo 1; s. 26
Hlavný autor: Bates, David W.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Nature Publishing Group US 01.01.2023
Nature Publishing Group
Predmet:
692/700/139
692/700/1538
Algorithms
Artificial Intelligence
Biomedical and Life Sciences
Biomedicine
Cancer Research
Evolution
Infectious Diseases
Metabolic Diseases
Molecular Medicine
Neurosciences
World View
ISSN:1078-8956, 1546-170X, 1546-170X
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Abstract Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.
AbstractList Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.
Author Bates, David W.
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  fullname: Bates, David W.
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  organization: Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Harvard Medical School, Department of Health Care Policy, Harvard Medical School
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36694060$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1016_j_hlpt_2024_100892
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Snippet Artificial intelligence algorithms have had mixed success in health, in part because regulation prevents them from evolving at the necessary rate.
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Algorithms
Artificial Intelligence
Biomedical and Life Sciences
Biomedicine
Cancer Research
Evolution
Infectious Diseases
Metabolic Diseases
Molecular Medicine
Neurosciences
World View
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