Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics - 08/10/20
, David Camirand a, Francois Guilbert, MD a, b, Reza Forghani, MD, PhD c, d, e, f, g, hResumen |
There is great potential for artificial intelligence (AI) applications, especially machine learning and natural language processing, in medical imaging. Much attention has been garnered by the image analysis tasks for diagnostic decision support and precision medicine, but there are many other potential applications of AI in radiology and have potential to enhance all levels of the radiology workflow and practice, including workflow optimization and support for interpretation tasks, quality and safety, and operational efficiency. This article reviews the important potential applications of informatics and AI related to process improvement and operations in the radiology department.
El texto completo de este artículo está disponible en PDF.Keywords : Artificial intelligence, Machine learning, Workflow, Decision support, Smart device, Radiology, Medical imaging, Operational efficiency
Esquema
| Funding: R. Forghani is a clinical research scholar (chercheur-boursier clinicien) supported by the Fonds de recherche en santé du Québec (FRQS) and has an operating grant jointly funded by the FRQS and the Fondation de l'Association des radiologistes du Québec (FARQ). |
Vol 30 - N° 4
P. e1-e15 - novembre 2020 Regresar al número
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