Literature DB >> 29402532

Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics.

Patricia Balthazar1, Peter Harri1, Adam Prater1, Nabile M Safdar2.   

Abstract

The Hippocratic oath and the Belmont report articulate foundational principles for how physicians interact with patients and research subjects. The increasing use of big data and artificial intelligence techniques demands a re-examination of these principles in light of the potential issues surrounding privacy, confidentiality, data ownership, informed consent, epistemology, and inequities. Patients have strong opinions about these issues. Radiologists have a fiduciary responsibility to protect the interest of their patients. As such, the community of radiology leaders, ethicists, and informaticists must have a conversation about the appropriate way to deal with these issues and help lead the way in developing capabilities in the most just, ethical manner possible.
Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; big data; ethics; informatics; machine learning

Mesh:

Year:  2018        PMID: 29402532     DOI: 10.1016/j.jacr.2017.11.035

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  21 in total

1.  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia?

Authors:  Heng Xue; Shou-Yang Wang; Li-Gang Cui; Kai Hong
Journal:  AJR Am J Roentgenol       Date:  2019-02-26       Impact factor: 3.959

Review 2.  Machine learning concepts, concerns and opportunities for a pediatric radiologist.

Authors:  Michael M Moore; Einat Slonimsky; Aaron D Long; Raymond W Sze; Ramesh S Iyer
Journal:  Pediatr Radiol       Date:  2019-03-29

3.  Ethical principles for the application of artificial intelligence (AI) in nuclear medicine.

Authors:  Geoff Currie; K Elizabeth Hawk; Eric M Rohren
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-04       Impact factor: 9.236

Review 4.  Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Authors:  Chayakrit Krittanawong; Andrew S Bomback; Usman Baber; Sripal Bangalore; Franz H Messerli; W H Wilson Tang
Journal:  Curr Hypertens Rep       Date:  2018-07-06       Impact factor: 5.369

5.  What Are Important Ethical Implications of Using Facial Recognition Technology in Health Care?

Authors:  Nicole Martinez-Martin
Journal:  AMA J Ethics       Date:  2019-02-01

6.  Who Will Get Paid for Artificial Intelligence in Medicine?

Authors:  Colin Rowell; Ronnie Sebro
Journal:  Radiol Artif Intell       Date:  2022-08-03

7.  Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.

Authors:  Praitayini Kanakaraj; Karthik Ramadass; Shunxing Bao; Melissa Basford; Laura M Jones; Ho Hin Lee; Kaiwen Xu; Kurt G Schilling; John Jeffrey Carr; James Gregory Terry; Yuankai Huo; Kim Lori Sandler; Allen T Netwon; Bennett A Landman
Journal:  J Digit Imaging       Date:  2022-03-09       Impact factor: 4.903

8.  Parental Attitudes toward Artificial Intelligence-Driven Precision Medicine Technologies in Pediatric Healthcare.

Authors:  Bryan A Sisk; Alison L Antes; Sara Burrous; James M DuBois
Journal:  Children (Basel)       Date:  2020-09-20

9.  Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.

Authors:  M-C Laï; M Brian; M-F Mamzer
Journal:  J Transl Med       Date:  2020-01-09       Impact factor: 5.531

Review 10.  The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review.

Authors:  Martin Mirchev; Iskra Mircheva; Albena Kerekovska
Journal:  J Med Internet Res       Date:  2020-08-18       Impact factor: 5.428

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