Pilot study uses pretrained video encoder features from lung ultrasound to predict 30-day CHF readmission, finding lower-lung views and temporal differences most informative with top MLP F1 of 0.80.
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Audio-Omni unifies audio understanding, generation, and editing in one end-to-end model across domains, backed by a new million-pair AudioEdit dataset, and achieves strong benchmark results.
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Prognostic Value of Lung Ultrasound Biomarkers for Readmission Risk in Congestive Heart Failure: A Pilot Data-Driven Analysis
Pilot study uses pretrained video encoder features from lung ultrasound to predict 30-day CHF readmission, finding lower-lung views and temporal differences most informative with top MLP F1 of 0.80.
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Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing
Audio-Omni unifies audio understanding, generation, and editing in one end-to-end model across domains, backed by a new million-pair AudioEdit dataset, and achieves strong benchmark results.