ImageCoreLab

What can large-scale imaging datasets reveal about workflow optimization in pediatric neuroimaging?

Our latest publication by Dr. Mustafa S. Alhasan, Dr. Omar A. Alharthi, Dr. Neetika Mathur, Dr. Arjun Kalyanpur et al. analyzed 9,985 pediatric neuroradiology scans across 107 hospitals in the United States.

Published in Child’s Nervous System (2026).

Key findings:

➡️ AUC values of 0.91–0.95
➡️ 89.4% of immediate neurosurgical emergencies met the 60-minute benchmark
➡️ CT modality, trauma burden, and structural abnormalities predicted turnaround time
➡️ A validated framework supported imaging prioritization and decision-making

The study demonstrates how advanced imaging analytics can support faster workflows and structured clinical decision support in neuroimaging environments.

📌 Read the publication: https://doi.org/10.1007/s00381-026-07277-x

Every year, millions of people sustain 𝐭𝐫𝐚𝐮𝐦𝐚𝐭𝐢𝐜 𝐛𝐫𝐚𝐢𝐧 𝐢𝐧𝐣𝐮𝐫𝐢𝐞𝐬, many of which go undetected or undertreated because the tools to identify them aren't accurate, fast, or reliable enough.

AI has the potential to change that. But potential alone isn't enough.

In neurotrauma imaging, the stakes are too high for algorithms built on weak foundations.

Detection must be reproducible.
Ground truth must be defensible.
And study design must hold up under regulatory scrutiny.

Image Core Lab has contributed to 10+ neuro AI and SAMD programs addressing some of the most critical TBI applications: intracranial hemorrhages (ICH), midline shift (MLS), and skull/spine fracture detection.

Our work goes beyond basic annotation.

We deliver expert-defined ground truth, structured reader workflows, and MRMC study design. This is how early-stage AI models become clinically credible, regulatory-aligned solutions ready for real-world impact.

If you're advancing AI in neuroimaging, let's talk about how structured imaging expertise can strengthen your next program.

🔗 https://imagecorelab.com/clinical-services-in-radiology-ai-and-samd/

Image Core Lab ensures every box on your site qualification checklist is marked for consistent imaging across all clinical trial sites.

️✅ Imaging Capability Assessments to evaluate and standardize site readiness
✅ Imaging Staff Training to ensure image quality meets trial requirements
✅ Proactive Support to maintain compliance throughout the trial lifecycle

Our expertise ensures every site qualifies for a consistent and successful imaging interpretation. 🔬🏥

👉 Visit https://imagecorelab.com/ to partner with us!