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Publications & preprints
Pediatric AI Research Lab
Trustworthy AI for the smallest patients.
PediaMed AI is a pediatric AI research lab building interpretable vision and multimodal models for early detection and clinician-readable explanations.
[ POSE OVERLAY · AGGPOSE ]
ILLUSTRATIVE PEDIATRIC
MODEL ARTIFACT
ILLUSTRATIVE PEDIATRIC
MODEL ARTIFACT
CONFIDENCE
ENCODING
ENCODING
15 LANDMARKS
AGGPOSE · IJCAI 2022
Pediatric medicine deserves the same generation of AI tools as oncology and radiology — designed for the bodies, faces, and rare diseases of children.
We are building them with clinicians, for children.
— 01 / Interpretable
Every prediction comes with a faithful, clinician-readable explanation. No black boxes at the bedside.
— 02 / Pediatric-first
Models trained, validated, and benchmarked on children — not adapted from adult datasets after the fact.
— 03 / Open by default
Datasets, weights, and methods released openly. Knowledge belongs to the field.
Three themes, one promise: AI a clinician can defend.
Clinician-Defensible AI
Calibrated, Lipschitz-bounded transformers that know what they don't know. Uncertainty isn't a feature — it's a clinical requirement.
LRFormer · UAI 2023
Pediatric Behavioral & Vision Models
Vision transformers for facial and behavioral analysis — built to support, never replace, the clinical interview.
ViTASD · ICASSP 2023
Open Tools for Underserved Children
Open datasets and infant pose estimation released to any lab that needs them. Impact measured in children reached, not papers cited.
AggPose · IJCAI 2022
Workshops & clinical training.
CVPR 2026 · Computer Vision for Children (CV4CHL)
Workshop on computer vision for children's development, health, and education. Hosting the Children's Gait Competition.
Workshop site
ICLR 2025 · AI for Children (AI4CHL)
Workshop bringing pediatricians, psychologists, educators, and AI researchers together. Recap and gallery inside.
Workshop recap
Open to collaboration