Literature DB >> 30794128

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

Nicole Martinez-Martin1.   

Abstract

Applications of facial recognition technology (FRT) in health care settings have been developed to identify and monitor patients as well as to diagnose genetic, medical, and behavioral conditions. The use of FRT in health care suggests the importance of informed consent, data input and analysis quality, effective communication about incidental findings, and potential influence on patient-clinician relationships. Privacy and data protection are thought to present challenges for the use of FRT for health applications.
© 2019 American Medical Association. All Rights Reserved.

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Year:  2019        PMID： 30794128      PMCID： PMC6634990          DOI： 10.1001/amajethics.2019.180

Source DB:  PubMed          Journal:  AMA J Ethics


  16 in total

1.  Facial recognition software success rates for the identification of 3D surface reconstructed facial images: implications for patient privacy and security.

Authors:  Jan C Mazura; Krishna Juluru; Joseph J Chen; Tara A Morgan; Majnu John; Eliot L Siegel
Journal:  J Digit Imaging       Date:  2012-06       Impact factor: 4.056

2.  Health law - genetics - Congress restricts use of genetic information by insurers and employers. - Genetic Information Nondiscrimination Act of 2008, Pub. L. No. 110-233, 122 Stat. 881 (to be codified in scattered sections of 26, 29, and 42 U.S.C.).

Authors: 
Journal:  Harv Law Rev       Date:  2009-01

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

Authors:  Patricia Balthazar; Peter Harri; Adam Prater; Nabile M Safdar
Journal:  J Am Coll Radiol       Date:  2018-02-06       Impact factor: 5.532

4.  Surveillance and Digital Health.

Authors:  Nicole Martinez-Martin; Danton Char
Journal:  Am J Bioeth       Date:  2018-09       Impact factor: 11.229

5.  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

6.  A novel approach to the detection of acromegaly: accuracy of diagnosis by automatic face classification.

Authors:  Harald J Schneider; Robert P Kosilek; Manuel Günther; Josefine Roemmler; Günter K Stalla; Caroline Sievers; Martin Reincke; Jochen Schopohl; Rolf P Würtz
Journal:  J Clin Endocrinol Metab       Date:  2011-04-20       Impact factor: 5.958

7.  Automatic face classification of Cushing's syndrome in women - a novel screening approach.

Authors:  R P Kosilek; J Schopohl; M Grunke; M Reincke; C Dimopoulou; G K Stalla; R P Würtz; A Lammert; M Günther; H J Schneider
Journal:  Exp Clin Endocrinol Diabetes       Date:  2013-07-17       Impact factor: 2.949

8.  The legal and ethical concerns that arise from using complex predictive analytics in health care.

Authors:  I Glenn Cohen; Ruben Amarasingham; Anand Shah; Bin Xie; Bernard Lo
Journal:  Health Aff (Millwood)       Date:  2014-07       Impact factor: 6.301

Review 9.  Closed Loop Deep Brain Stimulation for PTSD, Addiction, and Disorders of Affective Facial Interpretation: Review and Discussion of Potential Biomarkers and Stimulation Paradigms.

Authors:  Robert W Bina; Jean-Phillipe Langevin
Journal:  Front Neurosci       Date:  2018-05-04       Impact factor: 4.677

10.  Development of a computer-aided tool for the pattern recognition of facial features in diagnosing Turner syndrome: comparison of diagnostic accuracy with clinical workers.

Authors:  Shi Chen; Zhou-Xian Pan; Hui-Juan Zhu; Qing Wang; Ji-Jiang Yang; Yi Lei; Jian-Qiang Li; Hui Pan
Journal:  Sci Rep       Date:  2018-06-18       Impact factor: 4.379
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  8 in total

1.  Modeling Research Topics for Artificial Intelligence Applications in Medicine: Latent Dirichlet Allocation Application Study.

Authors:  Bach Xuan Tran; Son Nghiem; Oz Sahin; Tuan Manh Vu; Giang Hai Ha; Giang Thu Vu; Hai Quang Pham; Hoa Thi Do; Carl A Latkin; Wilson Tam; Cyrus S H Ho; Roger C M Ho
Journal:  J Med Internet Res       Date:  2019-11-01       Impact factor: 5.428

Review 2.  Towards an Earlier Diagnosis of Acromegaly and Gigantism.

Authors:  Jill Sisco; A J van der Lely
Journal:  J Clin Med       Date:  2021-03-26       Impact factor: 4.241

3.  A survey of U.S. public perspectives on facial recognition technology and facial imaging data practices in health and research contexts.

Authors:  Sara H Katsanis; Peter Claes; Megan Doerr; Robert Cook-Deegan; Jessica D Tenenbaum; Barbara J Evans; Myoung Keun Lee; Joel Anderton; Seth M Weinberg; Jennifer K Wagner
Journal:  PLoS One       Date:  2021-10-14       Impact factor: 3.240

4.  Protection of the rights of the individual when using facial recognition technology.

Authors:  Jawahitha Sarabdeen
Journal:  Heliyon       Date:  2022-03-11

Review 5.  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

6.  Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study.

Authors:  Jean Tori Pantel; Nurulhuda Hajjir; Magdalena Danyel; Jonas Elsner; Angela Teresa Abad-Perez; Peter Hansen; Stefan Mundlos; Malte Spielmann; Denise Horn; Claus-Eric Ott; Martin Atta Mensah
Journal:  J Med Internet Res       Date:  2020-10-22       Impact factor: 5.428

7.  Towards Responsible Implementation of Monitoring Technologies in Institutional Care.

Authors:  Alisa Grigorovich; Pia Kontos
Journal:  Gerontologist       Date:  2020-09-15

8.  Biased Face Recognition Technology Used by Government: A Problem for Liberal Democracy.

Authors:  Michael Gentzel
Journal:  Philos Technol       Date:  2021-09-25
  8 in total

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