Performance of an artificial intelligence-based chatbot when acting as EMS dispatcher in a cardiac arrest scenario
Author:
Publisher
Springer Science and Business Media LLC
Subject
Emergency Medicine,Internal Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11739-023-03399-1.pdf
Reference10 articles.
1. Berg KM, Cheng A, Panchal AR et al (2020) Part 7: systems of care: 2020 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation 142(16_suppl_2):S580–S604. https://doi.org/10.1161/CIR.0000000000000899
2. Kurz MC, Bobrow BJ, Buckingham J et al (2020) Telecommunicator cardiopulmonary resuscitation: a policy statement from the American Heart Association. Circulation 141(12):e686–e700. https://doi.org/10.1161/CIR.0000000000000744
3. Mould-Millman NK, Dixon JM, Sefa N et al (2017) The state of Emergency Medical Services (EMS) systems in Africa. Prehosp Disaster Med 32(3):273–283. https://doi.org/10.1017/S1049023X17000061
4. Hassani H, Silva ES (2023) The role of ChatGPT in data science: how AI-assisted conversational interfaces are revolutionizing the field. Big Data Cognitive Comput 7(2):62. https://doi.org/10.3390/bdcc7020062
5. Ahn C (2023) Exploring ChatGPT for information of cardiopulmonary resuscitation. Resuscitation 185:109729. https://doi.org/10.1016/j.resuscitation.2023.109729
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