05/22/2026
Predicting turnaround time in pediatric neuroimaging could directly impact emergency decision-making.
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 to develop validated predictive models for clinical decision support in teleradiology.
Published in Child’s Nervous System (2026).
Key findings from the study:
➡️ Predictive performance achieved AUC values of 0.91–0.95
➡️ 89.4% of immediate neurosurgical emergencies met the 60-minute reporting benchmark
➡️ CT modality, trauma burden, and structural abnormalities were identified as significant turnaround time predictors
📌 Read the publication:
https://doi.org/10.1007/s00381-026-07277-x
To read more publications and obtain additional insights on teleradiology, visit: https://telradsol.com/teleradiology-articles/
Dr. Arjun Kalyanpur, Founder & Chief Radiologist, Teleradiology Solutions