Literature DB >> 32755879

Ethical considerations for artificial intelligence: an overview of the current radiology landscape.

Tugba Akinci D'Antonoli1.   

Abstract

Artificial intelligence (AI) has great potential to accelerate scientific discovery in medicine and to transform healthcare. In radiology, AI is about to enter into clinical practice and has a wide range of applications covering the whole diagnostic workflow. However, AI applications are not smooth sailing. It is crucial to understand the potential risks and hazards that come with this new technology. We have to implement AI in the best possible way to reflect the time-honored ethical and legal standards while ensuring the adequate protection of patient interests. These issues are discussed under the light of core biomedical ethics principles and principles for AI-specific ethical challenges while giving an overview of the statements that were proposed for the ethics of AI applications in radiology.

Entities:  

Mesh:

Year:  2020        PMID: 32755879      PMCID: PMC7490024          DOI: 10.5152/dir.2020.19279

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  26 in total

1.  Introduction to Bayesian reasoning.

Authors:  J Hornberger
Journal:  Int J Technol Assess Health Care       Date:  2001       Impact factor: 2.188

2.  A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Authors:  Curtis P Langlotz; Bibb Allen; Bradley J Erickson; Jayashree Kalpathy-Cramer; Keith Bigelow; Tessa S Cook; Adam E Flanders; Matthew P Lungren; David S Mendelson; Jeffrey D Rudie; Ge Wang; Krishna Kandarpa
Journal:  Radiology       Date:  2019-04-16       Impact factor: 11.105

3.  Ethics, Artificial Intelligence, and Radiology.

Authors:  Marc Kohli; Raym Geis
Journal:  J Am Coll Radiol       Date:  2018-07-14       Impact factor: 5.532

Review 4.  Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology.

Authors:  An Tang; Roger Tam; Alexandre Cadrin-Chênevert; Will Guest; Jaron Chong; Joseph Barfett; Leonid Chepelev; Robyn Cairns; J Ross Mitchell; Mark D Cicero; Manuel Gaudreau Poudrette; Jacob L Jaremko; Caroline Reinhold; Benoit Gallix; Bruce Gray; Raym Geis
Journal:  Can Assoc Radiol J       Date:  2018-04-11       Impact factor: 2.248

Review 5.  The future of radiology augmented with Artificial Intelligence: A strategy for success.

Authors:  Charlene Liew
Journal:  Eur J Radiol       Date:  2018-03-14       Impact factor: 3.528

6.  Potential Liability for Physicians Using Artificial Intelligence.

Authors:  W Nicholson Price; Sara Gerke; I Glenn Cohen
Journal:  JAMA       Date:  2019-11-12       Impact factor: 56.272

7.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

8.  Implementing Machine Learning in Health Care - Addressing Ethical Challenges.

Authors:  Danton S Char; Nigam H Shah; David Magnus
Journal:  N Engl J Med       Date:  2018-03-15       Impact factor: 91.245

Review 9.  Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States.

Authors:  Filippo Pesapane; Caterina Volonté; Marina Codari; Francesco Sardanelli
Journal:  Insights Imaging       Date:  2018-08-15

10.  Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement.

Authors:  J Raymond Geis; Adrian Brady; Carol C Wu; Jack Spencer; Erik Ranschaert; Jacob L Jaremko; Steve G Langer; Andrea Borondy Kitts; Judy Birch; William F Shields; Robert van den Hoven van Genderen; Elmar Kotter; Judy Wawira Gichoya; Tessa S Cook; Matthew B Morgan; An Tang; Nabile M Safdar; Marc Kohli
Journal:  Insights Imaging       Date:  2019-10-01
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  6 in total

1.  Sensitivity of neural networks to corruption of image classification.

Authors:  Shimon Kaplan; Doron Handelman; Amir Handelman
Journal:  AI Ethics       Date:  2021-03-23

2.  Ethics and Automated Systems in the Health Domain: Design and Submission of a Survey on Rehabilitation and Assistance Robotics to Collect Insiders' Opinions and Perception.

Authors:  Giovanni Morone; Antonia Pirrera; Paola Meli; Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2022-04-22

3.  Assistive Technologies, Robotics, Automatic Machines: Perspectives of Integration in the Health Domain.

Authors:  Daniele Giansanti
Journal:  Healthcare (Basel)       Date:  2022-06-10

4.  Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning.

Authors:  Ben Li; Charles de Mestral; Muhammad Mamdani; Mohammed Al-Omran
Journal:  J Vasc Surg Cases Innov Tech       Date:  2022-07-19

5.  Ethics of AI in Radiology: A Review of Ethical and Societal Implications.

Authors:  Melanie Goisauf; Mónica Cano Abadía
Journal:  Front Big Data       Date:  2022-07-14

Review 6.  The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus.

Authors:  Daniele Giansanti; Francesco Di Basilio
Journal:  Healthcare (Basel)       Date:  2022-03-10
  6 in total

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