A Federated Registration System for Artificial Intelligence in Health-Reference-Cited by-同舟云学术

A Federated Registration System for Artificial Intelligence in Health

Published:2024-09-10 Issue:10 Volume:332 Page:789
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Pencina Michael J.¹²,McCall Jonathan²,Economou-Zavlanos Nicoleta J.²³

Affiliation:

1. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Duke University, Durham, North Carolina

2. Duke AI Health, Duke University School of Medicine, Duke University, Durham, North Carolina

3. Duke Health Evaluation & Governance, Duke Health, Durham, North Carolina

Abstract

This Viewpoint discusses a suggested framework of local registries to record and track all health artificial intelligence technologies used in clinical care, with the goal of providing transparency on these technologies and helping speed adoption while also protecting patient well-being.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2822175/jama_pencina_2024_vp_240095_1725043002.90323.pdf

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5. Nondiscrimination in health programs and activities: a rule by the Centers for Medicare & Medicaid Services. May 6, 2024. Accessed June 24, 2024. https://www.federalregister.gov/documents/2024/05/06/2024-08711/nondiscrimination-in-health-programs-and-activities

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