The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models

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Standard

The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models. / Minssen, Timo; Vayena, Effy; Cohen, Glenn .

I: JAMA - Journal of the American Medical Association, Bind 330, Nr. 4, 2023, s. 315-316.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Minssen, T, Vayena, E & Cohen, G 2023, 'The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models', JAMA - Journal of the American Medical Association, bind 330, nr. 4, s. 315-316. https://doi.org/10.1001/jama.2023.9651

APA

Minssen, T., Vayena, E., & Cohen, G. (2023). The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models. JAMA - Journal of the American Medical Association, 330(4), 315-316. https://doi.org/10.1001/jama.2023.9651

Vancouver

Minssen T, Vayena E, Cohen G. The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models. JAMA - Journal of the American Medical Association. 2023;330(4):315-316. https://doi.org/10.1001/jama.2023.9651

Author

Minssen, Timo ; Vayena, Effy ; Cohen, Glenn . / The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models. I: JAMA - Journal of the American Medical Association. 2023 ; Bind 330, Nr. 4. s. 315-316.

Bibtex

@article{6ee69003ede442658f00786f246b63e2,
title = "The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models",
abstract = "The introduction of artificial intelligence (AI) into medical devices, decision support, and clinical practice is not new, with a particular uptick in investment and deployment within the past decade. Regulators (eg, the US Food and Drug Administration, the European Medicines Agency, and the National Medical Products Administration), intergovernmental organizations (eg, the World Health Organization), civil society groups, institutional review boards at hospitals, and others have worked hard to define the scope of what AI applications should require review and approval, implementing rules in a fast-changing terrain with mixed results. ",
author = "Timo Minssen and Effy Vayena and Glenn Cohen",
year = "2023",
doi = "10.1001/jama.2023.9651",
language = "English",
volume = "330",
pages = "315--316",
journal = "JAMA - Journal of the American Medical Association",
issn = "0098-7484",
publisher = "American Medical Association",
number = "4",

}

RIS

TY - JOUR

T1 - The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models

AU - Minssen, Timo

AU - Vayena, Effy

AU - Cohen, Glenn

PY - 2023

Y1 - 2023

N2 - The introduction of artificial intelligence (AI) into medical devices, decision support, and clinical practice is not new, with a particular uptick in investment and deployment within the past decade. Regulators (eg, the US Food and Drug Administration, the European Medicines Agency, and the National Medical Products Administration), intergovernmental organizations (eg, the World Health Organization), civil society groups, institutional review boards at hospitals, and others have worked hard to define the scope of what AI applications should require review and approval, implementing rules in a fast-changing terrain with mixed results.

AB - The introduction of artificial intelligence (AI) into medical devices, decision support, and clinical practice is not new, with a particular uptick in investment and deployment within the past decade. Regulators (eg, the US Food and Drug Administration, the European Medicines Agency, and the National Medical Products Administration), intergovernmental organizations (eg, the World Health Organization), civil society groups, institutional review boards at hospitals, and others have worked hard to define the scope of what AI applications should require review and approval, implementing rules in a fast-changing terrain with mixed results.

UR - https://jamanetwork.com/journals/jama/fullarticle/2807167

UR - https://jamanetwork.com/journals/jama/fullarticle/2809446

U2 - 10.1001/jama.2023.9651

DO - 10.1001/jama.2023.9651

M3 - Journal article

C2 - 37410482

VL - 330

SP - 315

EP - 316

JO - JAMA - Journal of the American Medical Association

JF - JAMA - Journal of the American Medical Association

SN - 0098-7484

IS - 4

ER -

ID: 346663453