Automated Capture of Intraoperative Adverse Events Using Artificial Intelligence: A Systematic Review and Meta-Analysis

Intraoperative adverse events (iAEs) impact the outcomes of surgery, and yet are not routinely collected, graded, and reported. Advancements in artificial intelligence (AI) have the potential to power real-time, automatic detection of these events and disrupt the landscape of surgical safety through...

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Detalles Bibliográficos
Autores principales: Eppler, Michael B., Sayegh, Aref S., Maas, Marissa, Venkat, Abhishek, Hemal, Sij, Desai, Mihir M., Hung, Andrew J., Grantcharov, Teodor, Cacciamani, Giovanni E., Goldenberg, Mitchell G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963108/
https://www.ncbi.nlm.nih.gov/pubmed/36836223
http://dx.doi.org/10.3390/jcm12041687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963108/
https://www.ncbi.nlm.nih.gov/pubmed/36836223
http://dx.doi.org/10.3390/jcm12041687

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