Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology

Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology

IntroductionArtificial intelligence (AI)-based technologies embody countless solutions in radiation oncology, yet translation of AI-assisted software tools to actual clinical environments remains unrealized. We present the Deep Learning On-Demand Assistant (DL-ODA), a fully automated, end-to-end cli...

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Váldodahkkit: Christopher E. Kehayias, Yujie Yan, Dennis Bontempi, Sarah Quirk, Danielle S. Bitterman, Jeremy S. Bredfeldt, Hugo J. W. L. Aerts, Raymond H. Mak, Christian V. Guthier
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Frontiers Media S.A. 2024-01-01
Ráidu:Frontiers in Oncology
Fáttát:
deep learning - artificial intelligence
clinical translation
automated deployment
autosegmentation
quality assurance
end-to-end solution
Liŋkkat:https://www.frontiersin.org/articles/10.3389/fonc.2023.1305511/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1305511/full

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