Published on in Vol 6 (2023)
![Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence–Based Tools in Critical Care: Web-Based Survey Study](https://asset.jmir.pub/assets/a45f72f9ecce1e99992cf6f45508e9fb.png 480w,https://asset.jmir.pub/assets/a45f72f9ecce1e99992cf6f45508e9fb.png 960w,https://asset.jmir.pub/assets/a45f72f9ecce1e99992cf6f45508e9fb.png 1920w,https://asset.jmir.pub/assets/a45f72f9ecce1e99992cf6f45508e9fb.png 2500w)
1 Division of Pulmonary, Critical Care, Sleep and Physiology, University of California, San Diego, CA, United States
2 Department of Emergency Medicine, University of California, San Diego, CA, United States
3 Dissemination and Implementation Science Center, Altman Clinical & Translational Research Institute, University of California, San Diego, CA, United States
4 Department of Biomedical Informatics, University of California, San Diego, CA, United States
5 Section of Pulmonary and Critical Care, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States