Astra is a 3D CT vision-language foundation model trained on 90,678 thoracoabdominal scans that claims 44.1% better diagnostic metrics on internal and six external cohorts plus 29.6% faster chest reporting in real workflows.
arXiv preprint arXiv:2409.19330 , year=
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TIF-GRPO uses integral feedback on pseudo-temporal trajectories to regulate anatomy-aware rewards in RL for clinical faithfulness in volumetric CT analysis.
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Astra: a generalizable report generation foundation model for 3D computed tomography
Astra is a 3D CT vision-language foundation model trained on 90,678 thoracoabdominal scans that claims 44.1% better diagnostic metrics on internal and six external cohorts plus 29.6% faster chest reporting in real workflows.
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Regulating Anatomy-Aware Rewards via Trajectory-Integral Feedback for Volumetric Computed Tomography Analysis
TIF-GRPO uses integral feedback on pseudo-temporal trajectories to regulate anatomy-aware rewards in RL for clinical faithfulness in volumetric CT analysis.