Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology
Christopher E. Kehayias,
Yujie Yan,
Dennis Bontempi
et al.
Abstract: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 clinical platform that enables AI interventions for any disease site featuring an automated model-training pipeline, auto-segmentations, and QA reporting.Materials and methodsWe developed, tested, and prospectively dep… Show more
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