Currently · Planning CV4CHL at CVPR 2026
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
CONFIDENCE
ENCODING
15 LANDMARKS
AGGPOSE · IJCAI 2022
Illustrative pediatric pose-overlay artifactA diagrammatic infant pose overlay with 15 landmark points and per-point confidence rings, layered over light growth-chart percentile bands. The visual illustrates how AggPose attaches calibrated confidence to each landmark; it is not a live model output.P3P15P50P85P97CONFIDENCE ENCODINGLOWER → WIDER RING15 LANDMARKSHEADTORSOLSHRSHLELRELLWRRWR
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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.
— Interpretable

Every prediction comes with a faithful, clinician-readable explanation. No black boxes at the bedside.

— Pediatric-first

Models trained, validated, and benchmarked on children — not adapted from adult datasets after the fact.

— Open by default

Datasets, weights, and methods released openly. Knowledge belongs to the field.

From question to release.

— 01 / Define

A pediatric clinical question, scoped with hospital and university collaborators.

— 02 / Build

Vision and multimodal models with reference implementations and training recipes.

— 03 / Validate

Calibration error, robustness checks, and — where applicable — clinician review.

— 04 / Release

Datasets, weights, and methods released openly. Knowledge belongs to the field.

Open to collaboration

Clinicians, hospitals, and ML researchers: let's build pediatric AI together.