Clinician Trust in Artificial Intelligence-Reference-Cited by-同舟云学术

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Clinician Trust in Artificial Intelligence

Published:2023-10 Issue:4 Volume:39 Page:769-782
ISSN:0749-0704
Container-title:Critical Care Clinics
language:en
Short-container-title:Critical Care Clinics

Author:

Rojas Juan C.,Teran Mario,Umscheid Craig A.

Funder

Instituto Nacional de Ciência e Tecnologia Translacional em Medicina

National Institutes of Health

National Center for Advancing Translational Sciences

Publisher

Elsevier BV

Subject

Critical Care and Intensive Care Medicine,General Medicine

Reference54 articles.

1. Prevalence, Underlying causes, and Preventability of sepsis-associated mortality in US acute care hospitals;Rhee;JAMA Netw Open,2019

2. Sepsis 3 from the perspective of clinicians and quality improvement initiatives;Machado;J Crit Care,2017

3. Early goal-directed therapy in the treatment of severe sepsis and septic shock;Rivers;N Engl J Med,2001

4. A machine learning algorithm to predict severe sepsis and septic shock: development, implementation, and impact on clinical practice;Giannini;Crit Care Med,2019

5. Clinician perception of the effectiveness of an automated early warning and response system for sepsis in an academic medical Center;Guidi;Ann Am Thorac Soc,2015

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1. Ethical considerations for the application of artificial intelligence in pediatric surgery;AI and Ethics;2024-07-24

2. Editorial: Artificial intelligence and machine learning in pediatric surgery;Frontiers in Pediatrics;2024-04-09

3. Medical professionals' adoption of AI-based medical devices: UTAUT model with trust mediation;Journal of Open Innovation: Technology, Market, and Complexity;2024-03

4. PainMeter: Automatic Assessment of Pain Intensity Levels From Multiple Physiological Signals Using Machine Learning;IEEE Access;2024

5. Extraction of Disease Symptoms from Free Text Using Natural Language Processing Techniques;Lecture Notes in Networks and Systems;2024

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