Evidence map›Paper›PMID 35686827›Full record

ArticleHealthcare policy = Politiques de sante2022

Regulating the Safety of Health-Related Artificial Intelligence.

Michael Da Silva, Colleen M Flood, Anna Goldenberg, Devin Singh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare policy = Politiques de sante, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Review
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  10. New Spending Programs and Old Frustrations: Where Is the Vision?Healthcare policy = Politiques de sante · 2022
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michael Da SilvaLecturer, University of Southampton Law School, Southampton, UK, Senior Fellow in AI and Healthcare, AI + Society Initiative, Centre for Law, Technology and Society, University of Ottawa, Ottawa, ON.
Colleen M FloodProfessor, University Research Chair in Health Law & Policy, Director of the Centre for Health Law, Policy and Ethics, Faculty of Law (Common Law Section), University of Ottawa, Ottawa, ON.
Anna GoldenbergSenior Scientist SickKids Research Institute, The Hospital for Sick Children, Associate Professor, Computer Science, University of Toronto, Associate Research Director, Health, Vector Institute, Fellow, Canadian Institute for Advanced Research (CIFAR), Toronto, ON.
Devin SinghStaff Physician and Lead for Clinical Artificial Intelligence & Machine Learning, Division of Paediatric Emergency Medicine, The Hospital for Sick Children, University of Toronto, Toronto, ON.

Funding

CIHR 155390
6 · The paper itself

Abstract

This article analyzes whether Canada's present approach to regulating health-related artificial intelligence (AI) can address relevant safety-related challenges. Focusing primarily on Health Canada's regulation of medical devices with AI, it examines whether the existing regulatory approach can adequately address general safety concerns, as well as those related to algorithmic bias and challenges posed by the intersections of these concerns with privacy and security interests. It identifies several issues and proposes reforms that aim to ensure that Canadians can access beneficial AI while keeping unsafe products off Canadian markets and motivating safe, effective use of AI products for appropriate purposes and populations.

Indexed as

Artificial IntelligenceCanadaHumans

Identifiers

PMID35686827
PMCPMC9170055

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.