Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation-Reference-Cited by-同舟云学术

Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation

Published:2021-04-06 Issue:3 Volume:99 Page:629-647
ISSN:0887-378X
Container-title:The Milbank Quarterly
language:en
Short-container-title:The Milbank Quarterly

Author:

MALIHA GEORGE¹²,GERKE SARA³,COHEN I. GLENN³⁴,PARIKH RAVI B.¹²⁵⁶

Affiliation:

1. Perelman School of Medicine University of Pennsylvania

2. Department of Internal Medicine University of Pennsylvania

3. Petrie‐Flom Center for Health Law Policy Biotechnology, and Bioethics, Harvard Law School, Harvard University

4. Harvard Law School Harvard University

5. Penn Center for Cancer Care Innovation University of Pennsylvania

6. Corporal Michael J. Crescenz VA Medical Center

Publisher

Wiley

Subject

Public Health, Environmental and Occupational Health,Health Policy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1468-0009.12504

Reference85 articles.

1. National Institutes of Health.NIH workshop: harnessing artificial intelligence and machine learning to advance biomedical research. July 23 2018.https://datascience.nih.gov/sites/default/files/AI_workshop_report_summary_01-16-19_508.pdf. Accessed February 3 2021.

2. High-performance medicine: the convergence of human and artificial intelligence

3. The Medical Futurist.FDA approvals for smart algorithms in medicine in one giant infographic. June 6 2019.https://medicalfuturist.com/fda-approvals-for-algorithms-in-medicine. Accessed February 3 2021.

4. Lifecycle Regulation of Artificial Intelligence– and Machine Learning–Based Software Devices in Medicine

5. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices

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