Defining change: Exploring expert views about the regulatory challenges in adaptive artificial intelligence for healthcare-Reference-Cited by-同舟云学术

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Defining change: Exploring expert views about the regulatory challenges in adaptive artificial intelligence for healthcare

Published:2024-09 Issue:3 Volume:13 Page:100892
ISSN:2211-8837
Container-title:Health Policy and Technology
language:en
Short-container-title:Health Policy and Technology

Author:

Aquino Yves Saint James^ORCID,Rogers Wendy A.^ORCID,Jacobson Susannah Louise Sage,Richards Bernadette,Houssami Nehmat,Woode Maame Esi,Frazer Helen,Carter Stacy M.

Funder

National Health and Medical Research Council

Publisher

Elsevier BV

Reference32 articles.

1. Utopia versus dystopia: professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills;Aquino;Int J Med Inform,2023

2. Aquino, YSJ, Carter SM, Houssami N, Braunack-Mayer A, Win KT, Degeling C, Wang L, Rogers WA. Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives. J Med Ethics 2023: jme-2022-108850.

3. How to regulate evolving AI health algorithms;Bates;Nat Med,2023

4. The need for a system view to regulate artificial intelligence/machine learning-based software as medical device;Gerke;NPJ Digit Med,2020

5. Impact of continuous learning on diagnostic breast MRI AI: evaluation on an independent clinical dataset;Li;J Med Imaging,2022

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