Literature DB >> 33340404

Trust and medical AI: the challenges we face and the expertise needed to overcome them.

Thomas P Quinn1, Manisha Senadeera1, Stephan Jacobs1, Simon Coghlan2, Vuong Le1.   

Abstract

Artificial intelligence (AI) is increasingly of tremendous interest in the medical field. How-ever, failures of medical AI could have serious consequences for both clinical outcomes and the patient experience. These consequences could erode public trust in AI, which could in turn undermine trust in our healthcare institutions. This article makes 2 contributions. First, it describes the major conceptual, technical, and humanistic challenges in medical AI. Second, it proposes a solution that hinges on the education and accreditation of new expert groups who specialize in the development, verification, and operation of medical AI technologies. These groups will be required to maintain trust in our healthcare institutions.
© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  AI; challenges; ethics; machine learning

Mesh:

Year:  2021        PMID: 33340404      PMCID: PMC7973477          DOI: 10.1093/jamia/ocaa268

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  21 in total

Review 1.  Hierarchy of evidence: a framework for ranking evidence evaluating healthcare interventions.

Authors:  David Evans
Journal:  J Clin Nurs       Date:  2003-01       Impact factor: 3.036

Review 2.  Automation bias: a systematic review of frequency, effect mediators, and mitigators.

Authors:  Kate Goddard; Abdul Roudsari; Jeremy C Wyatt
Journal:  J Am Med Inform Assoc       Date:  2011-06-16       Impact factor: 4.497

3.  A definition and ethical evaluation of overdiagnosis.

Authors:  Stacy M Carter; Chris Degeling; Jenny Doust; Alexandra Barratt
Journal:  J Med Ethics       Date:  2016-07-08       Impact factor: 2.903

4.  A governance model for the application of AI in health care.

Authors:  Sandeep Reddy; Sonia Allan; Simon Coghlan; Paul Cooper
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

5.  Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Authors:  Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller; Jiang Bian; Jonathan H Chen; Xiuwen Liu; Zhe He
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

6.  Computer knows best? The need for value-flexibility in medical AI.

Authors:  Rosalind J McDougall
Journal:  J Med Ethics       Date:  2018-11-22       Impact factor: 2.903

7.  The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.

Authors:  Ayanna Howard; Jason Borenstein
Journal:  Sci Eng Ethics       Date:  2017-09-21       Impact factor: 3.525

8.  Google DeepMind and healthcare in an age of algorithms.

Authors:  Julia Powles; Hal Hodson
Journal:  Health Technol (Berl)       Date:  2017-03-16

9.  Machine learning in medicine: Addressing ethical challenges.

Authors:  Effy Vayena; Alessandro Blasimme; I Glenn Cohen
Journal:  PLoS Med       Date:  2018-11-06       Impact factor: 11.069

10.  With an eye to AI and autonomous diagnosis.

Authors:  Pearse A Keane; Eric J Topol
Journal:  NPJ Digit Med       Date:  2018-08-28
View more
  6 in total

Review 1.  Challenges in translational machine learning.

Authors:  Artuur Couckuyt; Ruth Seurinck; Annelies Emmaneel; Katrien Quintelier; David Novak; Sofie Van Gassen; Yvan Saeys
Journal:  Hum Genet       Date:  2022-03-04       Impact factor: 5.881

2.  Good Proctor or "Big Brother"? Ethics of Online Exam Supervision Technologies.

Authors:  Simon Coghlan; Tim Miller; Jeannie Paterson
Journal:  Philos Technol       Date:  2021-08-31

3.  Crossing the chasm from model performance to clinical impact: the need to improve implementation and evaluation of AI.

Authors:  Jayson S Marwaha; Joseph C Kvedar
Journal:  NPJ Digit Med       Date:  2022-03-03

4.  The Future Ethics of Artificial Intelligence in Medicine: Making Sense of Collaborative Models.

Authors:  Torbjørn Gundersen; Kristine Bærøe
Journal:  Sci Eng Ethics       Date:  2022-04-01       Impact factor: 3.777

5.  Selective Prediction With Long Short-term Memory Using Unit-Wise Batch Standardization for Time Series Health Data Sets: Algorithm Development and Validation.

Authors:  In Young Kim; Baek Hwan Cho; Borum Nam; Joo Young Kim
Journal:  JMIR Med Inform       Date:  2022-03-15

Review 6.  Review on people's trust on home use medical devices during Covid-19 pandemic in India.

Authors:  Garima Saini; Vikas Budhwar; Manjusha Choudhary
Journal:  Health Technol (Berl)       Date:  2022-02-22
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.