Introduction

Pediatric brain health is critically important for lifelong development and overall well-being. Early childhood represents a unique window of rapid neurodevelopment, during which structural and functional alterations serve as key biomarkers for long-term cognitive and motor outcomes. Yet, despite its significance, the pediatric brain remains challenging to study due to limited data availability, dynamic morphology, and a lack of specialized analytical tools. Moreover, the multimodal integration of neuroimaging with electronic health records, radiology reports, genomics, and social determinants of health remains largely underexplored. We hope this workshop will broaden the scope to encompass infant and pediatric brain data more comprehensively, addressing diverse conditions, multimodal data integration, and clinically relevant algorithm development. In doing so, we aim to unite clinicians, engineers, and scientists to develop machine learning models with strong clinical relevance, while promoting reproducibility, explainability, and real-world clinical adoption.

Important Dates

We invite submissions on topics related to pediatric brain data analysis, including multimodal benchmarks, machine learning algorithms, clinical applications, and open datasets.

Topics include (but are not limited to):

• Lesion segmentation and detection for pediatric brain injury
• Multimodal integration of imaging, EHR, genetics, and socio-demographic data in pediatric domain
• Explainability, interpretability, and clinically relevant AI in pediatric domain
• Benchmarking and open-science resource sharing for pediatric data

Submission Tracks

1. Full Paper Track
   Submit original research papers of up to 4 pages (main content) following the official ISBI format.
2. Abstract Track
   Submit a 1-page abstract describing preliminary results, new ideas, or ongoing work.
3. Benchmark/Dataset Track
   Submit work on datasets, benchmarks, or open resources in either 4 pages or 1 page.
   

Submission Website

Please submit your paper through OpenReview:
ISBI 2026 Workshop PBDA

Proceedings

Accepted papers will be published in the ISBI conference proceedings

1st Pediatric Brain Data Analysis Workshop, 4/9/2026

In Conjunction with ISBI 2026

Session 1 — Accelerating AI for Pediatric Brain Data Analysis

Session 2 — From Benchmarking to Clinical Translation in Pediatric AI

Organizers

Contact

Rina Bao, rina.bao@childrens.harvard.edu

Acknowledgments

Thanks to visualdialog.org for the webpage format.