Cargando…
Attitudes towards Trusting Artificial Intelligence Insights and Factors to Prevent the Passive Adherence of GPs: A Pilot Study
Artificial Intelligence (AI) systems could improve system efficiency by supporting clinicians in making appropriate referrals. However, they are imperfect by nature and misdiagnoses, if not correctly identified, can have consequences for patient care. In this paper, findings from an online survey ar...
Autores principales: | Micocci, Massimo, Borsci, Simone, Thakerar, Viral, Walne, Simon, Manshadi, Yasmine, Edridge, Finlay, Mullarkey, Daniel, Buckle, Peter, Hanna, George B. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303875/ https://www.ncbi.nlm.nih.gov/pubmed/34300267 http://dx.doi.org/10.3390/jcm10143101 |
Ejemplares similares
-
COVID-19 testing in English care homes and implications for staff and residents
por: Micocci, Massimo, et al.
Publicado: (2021) -
Factors predicting trust between GPs and OPs
por: Nauta, A.P., et al.
Publicado: (2001) -
Pathway map development for medical device event reporting in operating theatres: a human factors approach to improving the existing system
por: Tase, Arkeliana, et al.
Publicado: (2023) -
Usability study of pH strips for nasogastric tube placement
por: Borsci, Simone, et al.
Publicado: (2017) -
An online discussion between students and teachers: a way forward for meaningful teacher feedback?
por: Hunukumbure, Agra Dilshani, et al.
Publicado: (2021)