Quality of Layperson CPR Instructions From Artificial Intelligence Voice Assistants-Reference-Cited by-同舟云学术

Quality of Layperson CPR Instructions From Artificial Intelligence Voice Assistants

Published:2023-08-28 Issue:8 Volume:6 Page:e2331205
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Murk William¹,Goralnick Eric²³,Brownstein John S.³⁴,Landman Adam B.²³

Affiliation:

1. Department of Emergency Medicine, Albert Einstein College of Medicine, The Bronx, New York

2. Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, Massachusetts

3. Harvard Medical School, Boston, Massachusetts

4. Innovation and Digital Health Accelerator, Boston Children’s Hospital, Boston, Massachusetts

Abstract

This case series study evaluates responses from 4 artificial intelligence voice assistance on CPR questions from laypersons.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2808800/murk_2023_ld_230160_1692462592.54285.pdf

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4. Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.;Blomberg;Resuscitation,2019

5. Olmstead? K. Nearly half of Americans use digital voice assistants, mostly on their smartphones. Pew Research Center. Accessed March 12, 2022. https://www.pewresearch.org/fact-tank/2017/12/12/nearly-half-of-americans-use-digital-voice-assistants-mostly-on-their-smartphones/

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