A. Towbin

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A two-stage deep learning pipeline for automated detection and localization of endotracheal tubes on pediatric chest radiographs: a pilot study.

BACKGROUND Endotracheal tubes (ETTs) are critical life-support devices for mechanically ventilated pediatric patients, yet automated ETT assessment on pediatric chest radiographs (CXRs) remains limited. OBJECTIVE To develop and evaluate a two-stage deep learning pipeline for automated detection and localization of ET...

Quantifying human variability in pediatric bone age assessment: a multi-institutional multi-reader study and benchmark for AI evaluation.

Pediatric bone age assessment using the Greulich and Pyle method demonstrates measurable human reader variability, particularly in younger children and male patients, and provides a quantitative benchmark for interpreting AI performance in skeletal maturity assessment.

Clinical Implementation and Validation of Automated Slice-to-Volume Reconstruction for Fetal MRI Using a Vendor-Neutral MONAI-Based Imaging Informatics Pipeline.

In this single-center, single-vendor cohort, the pipeline returned radiologist-acceptable reconstructions within a clinically practical timeframe and Automated fetal MRI SVR was operationally feasible using a DICOM-based, vendor-neutral deployment architecture integrated with routine PACS workflow.