The American Journal of Bioethics, Volume 20, Issue 11 (2020)

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The American Journal of Bioethics, Volume 20, Issue 11 (2020)

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GUEST EDITORIALS

Planning for the Known Unknown: Machine Learning for Human Healthcare Systems
Jonathan H. Chen & Abraham Verghese
Pages: 1-3
Published online: 26 Oct 2020
First Page PreviewforPlanning for the Known Unknown: Machine Learning for Human Healthcare Systems | Full Text | References | PDF (310.2 KB) | EPUB
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Needs to Prepare for “Post-COVID-19 Syndrome”
Robert L. Klitzman
Pages: 4-6
Published online: 26 Oct 2020
First Page PreviewforNeeds to Prepare for “Post-COVID-19 Syndrome” | Full Text | References | PDF (411.5 KB) | EPUB
  • 1762 Views
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TARGET ARTICLE

Article
Identifying Ethical Considerations for Machine Learning Healthcare Applications
Danton S. Char, Michael D. Abràmoff & Chris Feudtner
Pages: 7-17
Published online: 26 Oct 2020
AbstractforIdentifying Ethical Considerations for Machine Learning Healthcare Applications | Full Text | References | PDF (4.7 MB) | EPUB
  • 8611 Views
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OPEN PEER COMMENTARIES

Article Commentary
It is Time for Bioethicists to Enter the Arena of Machine Learning Ethics
Michaela Hardt & Marshall H. Chin
Pages: 18-20
Published online: 26 Oct 2020
First Page PreviewforIt is Time for Bioethicists to Enter the Arena of Machine Learning Ethics | Full Text | References | PDF (670.2 KB) | EPUB
  • 451 Views
  • 5 CrossRef citations
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Article Commentary
AI Ethics Is Not a Panacea
Stuart McLennan, Meredith M. Lee, Amelia Fiske & Leo Anthony Celi
Pages: 20-22
Published online: 26 Oct 2020
First Page PreviewforAI Ethics Is Not a Panacea | Full Text | References | PDF (937.8 KB) | EPUB
  • 1301 Views
  • 11 CrossRef citations
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Article Commentary
Where Bioethics Meets Machine Ethics
Anna C. F. Lewis
Pages: 22-24
Published online: 26 Oct 2020
First Page PreviewforWhere Bioethics Meets Machine Ethics | Full Text | References | PDF (576.5 KB) | EPUB
  • 476 Views
  • 4 CrossRef citations
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Article Commentary
Addressing the “Wicked” Problems in Machine Learning Applications – Time for Bioethical Agility
Junaid Nabi
Pages: 25-27
Published online: 26 Oct 2020
First Page PreviewforAddressing the “Wicked” Problems in Machine Learning Applications – Time for Bioethical Agility | Full Text | References | PDF (514.9 KB) | EPUB
  • 347 Views
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Article Commentary
What Counts as “Clinical Data” in Machine Learning Healthcare Applications?
Joshua August Skorburg
Pages: 27-30
Published online: 26 Oct 2020
First Page PreviewforWhat Counts as “Clinical Data” in Machine Learning Healthcare Applications? | Full Text | References | PDF (686.7 KB) | EPUB
  • 409 Views
  • 2 CrossRef citations
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Article Commentary
An Ethical Framework to Nowhere
Eric S. Swirsky, Carol Gu & Andrew D. Boyd
Pages: 30-32
Published online: 26 Oct 2020
First Page PreviewforAn Ethical Framework to Nowhere | Full Text | References | PDF (994 KB) | EPUB
  • 313 Views
  • 1 CrossRef citations
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Article Commentary
Embedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications
Amelia Fiske, Daniel Tigard, Ruth Müller, Sami Haddadin, Alena Buyx & Stuart McLennan
Pages: 32-35
Published online: 26 Oct 2020
First Page PreviewforEmbedded Ethics Could Help Implement the Pipeline Model Framework for Machine Learning Healthcare Applications | Full Text | References | PDF (1.2 MB) | EPUB
  • 698 Views
  • 11 CrossRef citations
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Article Commentary
Structural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning
Niranjan S. Karnik, Majid Afshar, Matthew M. Churpek & Marcella Nunez-Smith
Pages: 35-37
Published online: 26 Oct 2020
First Page PreviewforStructural Disparities in Data Science: A Prolegomenon for the Future of Machine Learning | Full Text | References | PDF (616.4 KB) | EPUB
  • 2060 Views
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Open Access
Article Commentary
What’s in the Box?: Uncertain Accountability of Machine Learning Applications in Healthcare
Ma'n Zawati & Michael Lang
Pages: 37-40
Published online: 26 Oct 2020
First Page PreviewforWhat’s in the Box?: Uncertain Accountability of Machine Learning Applications in Healthcare | Full Text | References | PDF (737.8 KB) | EPUB
  • 512 Views
  • 6 CrossRef citations
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Article Commentary
Accountability in the Machine Learning Pipeline: The Critical Role of Research Ethics Oversight
Melissa D. McCradden, James A. Anderson & Randi Zlotnik Shaul
Pages: 40-42
Published online: 26 Oct 2020
First Page PreviewforAccountability in the Machine Learning Pipeline: The Critical Role of Research Ethics Oversight | Full Text | References | PDF (474.7 KB) | EPUB
  • 389 Views
  • 4 CrossRef citations
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Article Commentary
Deepening the Normative Evaluation of Machine Learning Healthcare Application by Complementing Ethical Considerations with Regulatory Governance
Calvin Wai-Loon Ho
Pages: 43-45
Published online: 26 Oct 2020
First Page PreviewforDeepening the Normative Evaluation of Machine Learning Healthcare Application by Complementing Ethical Considerations with Regulatory Governance | Full Text | References | PDF (468.3 KB) | EPUB
  • 299 Views
  • 4 CrossRef citations
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Article Commentary
Machine Learning Healthcare Applications (ML-HCAs) Are No Stand-Alone Systems but Part of an Ecosystem – A Broader Ethical and Health Technology Assessment Approach is Needed
Helene Gerhards, Karsten Weber, Uta Bittner & Heiner Fangerau
Pages: 46-48
Published online: 26 Oct 2020
First Page PreviewforMachine Learning Healthcare Applications (ML-HCAs) Are No Stand-Alone Systems but Part of an Ecosystem – A Broader Ethical and Health Technology Assessment Approach is Needed | Full Text | References | PDF (892.1 KB) | EPUB
  • 413 Views
  • 5 CrossRef citations
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Article Commentary
Machine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics
Kristine Bærøe, Maarten Jansen & Angeliki Kerasidou
Pages: 48-51
Published online: 26 Oct 2020
First Page PreviewforMachine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics | Full Text | References | PDF (895 KB) | EPUB
  • 826 Views
  • 4 CrossRef citations
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Article Commentary
Respect and Trustworthiness in the Patient-Provider-Machine Relationship: Applying a Relational Lens to Machine Learning Healthcare Applications
Stephanie A. Kraft
Pages: 51-53
Published online: 26 Oct 2020
First Page PreviewforRespect and Trustworthiness in the Patient-Provider-Machine Relationship: Applying a Relational Lens to Machine Learning Healthcare Applications | Full Text | References | PDF (475.6 KB) | EPUB
  • 342 Views
  • 2 CrossRef citations
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Article Commentary
Keeping the Patient at the Center of Machine Learning in Healthcare
Jess Findley, Andrew Woods, Christopher Robertson & Marv Slepian
Pages: 54-56
Published online: 26 Oct 2020
First Page PreviewforKeeping the Patient at the Center of Machine Learning in Healthcare | Full Text | References | PDF (512.9 KB) | EPUB
  • 603 Views
  • 5 CrossRef citations
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Article Commentary
An Evaluation of the Pipeline Framework for Ethical Considerations in Machine Learning Healthcare Applications: The Case of Prediction from Functional Neuroimaging Data
Dawson J. Overton
Pages: 56-58
Published online: 26 Oct 2020
First Page PreviewforAn Evaluation of the Pipeline Framework for Ethical Considerations in Machine Learning Healthcare Applications: The Case of Prediction from Functional Neuroimaging Data | Full Text | References | PDF (363.6 KB) | EPUB
  • 238 Views
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BOOK REVIEW

Book Review
Review of Robert Klitzman’s Designing Babies
Carolyn Riley Chapman
Pages: W1-W3
Published online: 26 Oct 2020
First Page PreviewforReview of Robert Klitzman’s Designing Babies | Full Text | References | PDF (413.6 KB) | EPUB
  • 112 Views
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CORRESPONDENCE

Response to Open Peer Commentary “Making It Count: Extracting Real World Data from Compassionate Use and Expanded Access Programs”
Tobias B. Polak, Joost van Rosmalen & Carin A. Uyl – De Groot
Pages: W4-W5
Published online: 26 Oct 2020
CitationforResponse to Open Peer Commentary “Making It Count: Extracting Real World Data from Compassionate Use and Expanded Access Programs” | Full Text | References | PDF (351.7 KB) | EPUB
  • 124 Views
  • 4 CrossRef citations
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A Framework to Evaluate Ethical Considerations with ML-HCA Applications—Valuable, Even Necessary, but Never Comprehensive
Danton Char, Michael Abràmoff & Chris Feudtner
Pages: W6-W10
Published online: 26 Oct 2020
First Page PreviewforA Framework to Evaluate Ethical Considerations with ML-HCA Applications—Valuable, Even Necessary, but Never Comprehensive | Full Text | References | PDF (464 KB) | EPUB
  • 334 Views
  • 3 CrossRef citations
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