Cargando…
How Clinicians Perceive Artificial Intelligence–Assisted Technologies in Diagnostic Decision Making: Mixed Methods Approach
BACKGROUND: With the rapid development of artificial intelligence (AI) and related technologies, AI algorithms are being embedded into various health information technologies that assist clinicians in clinical decision making. OBJECTIVE: This study aimed to explore how clinicians perceive AI assista...
Autores principales: | Hah, Hyeyoung, Goldin, Deana Shevit |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726017/ https://www.ncbi.nlm.nih.gov/pubmed/34924356 http://dx.doi.org/10.2196/33540 |
Ejemplares similares
-
Exploring Care Providers’ Perceptions and Current Use of Telehealth Technology at Work, in Daily Life, and in Education: Qualitative and Quantitative Study
por: Hah, Hyeyoung, et al.
Publicado: (2019) -
The Association Between Willingness of Frontline Care Providers’ to Adaptively Use Telehealth Technology and Virtual Service Performance in Provider-to-Provider Communication: Quantitative Study
por: Hah, Hyeyoung, et al.
Publicado: (2019) -
Title Correction: The Association Between Willingness of Frontline Care Providers’ to Adaptively Use Telehealth Technology and Virtual Service Performance in Provider-to-Provider Communication: Quantitative Study
por: Hah, Hyeyoung, et al.
Publicado: (2019) -
Impact of explainable artificial intelligence assistance on clinical decision-making of novice dental clinicians
por: Glick, Aaron, et al.
Publicado: (2022) -
Clinicians’ Perceptions of Artificial Intelligence: Focus on Workload, Risk, Trust, Clinical Decision Making, and Clinical Integration
por: Shamszare, Hamid, et al.
Publicado: (2023)