Cited by 68Artificial Intelligence in Healthcare and EducationHealthcare RegulationDigitalization, Law, and Regulation

Regulating AI in medicine in the United States and Europe

Open access
Vokinger, Kerstin N., Gasser, Urs·2021·Nature Machine Intelligence

Abstract

The regulatory landscape for artificial intelligence (AI) is shaping up on both sides of the Atlantic, urgently awaited by the scientific and industrial community. Commonalities and differences start to crystallize in the approaches to AI in medicine.

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 · 10.1038/s42256-021-00386-z

Cites

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?

  • The EU AI Act will require device manufacturers to document their strategy for modifying and subsequently testing and validating AI medical devices.

    “Similarly, the EU AI Act will require device manufactures to document their strategy for modifying and subsequently testing and validating AI medical devices (190).”

Self-check

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

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

The citation lists haven’t been fetched yet

References 11 · Cited by 68

Research works printed but not linked: 8

  1. [4]Vokinger KN Feuerriegel S Kesselheim AS Lancet Digit Health 2021 3 337 338 33933404
  2. [5]Oren O Gersh BJ Bhatt DL Lancet Digit Health 2020 2 486 488 33328116
  3. [7]Lavizzo-Mourey RJ Besser RE Williams DR NEJM 2021 18 1681 1684 33951376
  4. [8]Canto JG Rogers W Goldberg RJ JAMA 2012 8 813 822 PMC4494682 22357832
  5. [9]Parikh RB Teeple S Navathe AS JAMA 2019 322 2377 31755905
  6. [10]Kausha A Altman R Langlotz C JAMA 2020 324 1212 32960230 PMC7509620
  7. [11]Muehlematter UJ Daniore P Vokinger KN Lancet Digit Health 2021 3 195 203 33478929
  8. [12]Rajkomar A NPJ Digital Med 2018 1 18 PMC6550213 31304336

Authors
Vokinger, K. N., & Gasser, U.
Affiliations
Harvard University (US)
Corresponding author
  • Vokinger, Kerstin N.
  • Gasser, Urs
Venue
Nature Machine Intelligence
Published
2021-09-10
Volume
3
Issue
9
Pages
738-739
ISSN
2522-5839 (ISSN-L)
OpenAlex
W3200737726
Cited by
68
References
11
Citations by year
2026: 9 · 2025: 16 · 2024: 16 · 2023: 18 · 2022: 7 · 2021: 2
FWCI
3.11
Type
journal article
Language
en
Open access
Locations
  • Nature Machine Intelligence (publishedVersion)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (194607)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › Health Information Management › Healthcare Regulation
  • Social Sciences › Law › Digitalization, Law, and Regulation
Keywords
AI regulation, artificial intelligence in healthcare, health technology regulation, United States, European Union, comparative regulation

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