About this session
AI assisted Systemness for Augmenting Radiology Workflow. In this presentation, we will use real-world cases of lung cancer screening and staging to demonstrate how an AI-assisted interface brings an end-on-end radiology workflow solution from scheduling, protocoling, AI processing and results display, to radiology interpretation with always-on, EMR summary. At the pre-interpretation phase, the interface brings auto-protocoling, smart-scheduling, and AI pre-processing. As the primary interpretation interface, the synchronized reporting and image display features enable a single-click auto-selection of the best series, plane, relevant AI outputs with situation-aware and targeted EMR summary tables.
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