Literature DB >> 33328096

The European artificial intelligence strategy: implications and challenges for digital health.

I Glenn Cohen1, Theodoros Evgeniou2, Sara Gerke3, Timo Minssen4.   

Abstract

In February, 2020, the European Commission published a white paper on artificial intelligence (AI) as well as an accompanying communication and report. The paper sets out policy options to facilitate a secure and trustworthy development of AI and considers health to be one of its most important areas of application. We illustrate that the European Commission's approach, as applied to medical AI, presents some challenges that can be detrimental if not addressed. In particular, we discuss the issues of European values and European data, the update problem of AI systems, and the challenges of new trade-offs such as privacy, cybersecurity, accuracy, and intellectual property rights. We also outline what we view as the most important next steps in the Commission's iterative process. Although the European Commission has done good work in setting out a European approach for AI, we conclude that this approach will be more difficult to implement in health care. It will require careful balancing of core values, detailed consideration of nuances of health and AI technologies, and a keen eye on the political winds and global competition.
Copyright © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Year:  2020        PMID: 33328096     DOI: 10.1016/S2589-7500(20)30112-6

Source DB:  PubMed          Journal:  Lancet Digit Health        ISSN: 2589-7500


  11 in total

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3.  Chinese adult segmentation according to health skills and analysis of their use for smart home: a cross-sectional national survey.

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Journal:  BMC Health Serv Res       Date:  2022-06-10       Impact factor: 2.908

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Authors:  Antonio Oliva; Simone Grassi; Giuseppe Vetrugno; Riccardo Rossi; Gabriele Della Morte; Vilma Pinchi; Matteo Caputo
Journal:  Front Med (Lausanne)       Date:  2022-01-11

Review 5.  Ethical Principles in Digital Palliative Care for Children: The MyPal Project and Experiences Made in Designing a Trustworthy Approach.

Authors:  Tina Garani-Papadatos; Pantelis Natsiavas; Marcel Meyerheim; Stefan Hoffmann; Christina Karamanidou; Sheila A Payne
Journal:  Front Digit Health       Date:  2022-03-18

6.  Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.

Authors:  Xiaona Yu; Chunmei Zhang; Chengcheng Wang
Journal:  Comput Math Methods Med       Date:  2022-08-04       Impact factor: 2.809

Review 7.  Digital Technologies and Data Science as Health Enablers: An Outline of Appealing Promises and Compelling Ethical, Legal, and Social Challenges.

Authors:  João V Cordeiro
Journal:  Front Med (Lausanne)       Date:  2021-07-08

8.  Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov.

Authors:  Claus Zippel; Sabine Bohnet-Joschko
Journal:  Int J Environ Res Public Health       Date:  2021-05-11       Impact factor: 3.390

9.  Equity in essence: a call for operationalising fairness in machine learning for healthcare.

Authors:  Judy Wawira Gichoya; Liam G McCoy; Leo Anthony Celi; Marzyeh Ghassemi
Journal:  BMJ Health Care Inform       Date:  2021-04

10.  Algorithm Change Protocols in the Regulation of Adaptive Machine Learning-Based Medical Devices.

Authors:  Stephen Gilbert; Matthew Fenech; Martin Hirsch; Shubhanan Upadhyay; Andrea Biasiucci; Johannes Starlinger
Journal:  J Med Internet Res       Date:  2021-10-26       Impact factor: 5.428

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