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Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches

AI-based prediction models demonstrate equal or surpassing performance compared to experienced physicians in various research settings. However, only a few have made it into clinical practice. Further, there is no standardized protocol for integrating AI-based physician support systems into the dail...

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Autores principales: Mittermaier, Mirja, Raza, Marium, Kvedar, Joseph C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404285/
https://www.ncbi.nlm.nih.gov/pubmed/37543707
http://dx.doi.org/10.1038/s41746-023-00889-6
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author Mittermaier, Mirja
Raza, Marium
Kvedar, Joseph C.
author_facet Mittermaier, Mirja
Raza, Marium
Kvedar, Joseph C.
author_sort Mittermaier, Mirja
collection PubMed
description AI-based prediction models demonstrate equal or surpassing performance compared to experienced physicians in various research settings. However, only a few have made it into clinical practice. Further, there is no standardized protocol for integrating AI-based physician support systems into the daily clinical routine to improve healthcare delivery. Generally, AI/physician collaboration strategies have not been extensively investigated. A recent study compared four potential strategies for AI model deployment and physician collaboration to investigate the performance of an AI model trained to identify signs of acute respiratory distress syndrome (ARDS) on chest X-ray images. Here we discuss strategies and challenges with AI/physician collaboration when AI-based decision support systems are implemented in the clinical routine.
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spelling pubmed-104042852023-08-07 Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches Mittermaier, Mirja Raza, Marium Kvedar, Joseph C. NPJ Digit Med Editorial AI-based prediction models demonstrate equal or surpassing performance compared to experienced physicians in various research settings. However, only a few have made it into clinical practice. Further, there is no standardized protocol for integrating AI-based physician support systems into the daily clinical routine to improve healthcare delivery. Generally, AI/physician collaboration strategies have not been extensively investigated. A recent study compared four potential strategies for AI model deployment and physician collaboration to investigate the performance of an AI model trained to identify signs of acute respiratory distress syndrome (ARDS) on chest X-ray images. Here we discuss strategies and challenges with AI/physician collaboration when AI-based decision support systems are implemented in the clinical routine. Nature Publishing Group UK 2023-08-05 /pmc/articles/PMC10404285/ /pubmed/37543707 http://dx.doi.org/10.1038/s41746-023-00889-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial
Mittermaier, Mirja
Raza, Marium
Kvedar, Joseph C.
Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
title Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
title_full Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
title_fullStr Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
title_full_unstemmed Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
title_short Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches
title_sort collaborative strategies for deploying ai-based physician decision support systems: challenges and deployment approaches
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404285/
https://www.ncbi.nlm.nih.gov/pubmed/37543707
http://dx.doi.org/10.1038/s41746-023-00889-6
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