AI-Driven Prognostic Models for Pediatric Traumatic Brain Injury: Enhancing Outcome Prediction and Diagnosis

AI and machine learning models are transforming pediatric TBI management by improving diagnostic precision, prognostic assessment, and CT scan decision-making. Given the heightened vulnerability of the developing brain, these technologies help mitigate risks associated with radiation exposure while enhancing outcome predictions, ultimately leading to safer and more effective patient care.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-27
DOI
https://doi.org/10.5281/zenodo.15087139
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Prognostic Models for Pediatric Traumatic Brain Injury: Enhancing Outcome Prediction and Diagnosis

Zenodo (CERN European Organization for Nuclear Research)
Traumatic Brain Injury and Neurovascular Disturbances
article

AI-Driven Prognostic Models for Pediatric Traumatic Brain Injury: Enhancing Outcome Prediction and Diagnosis

article en

Abstract

AI and machine learning models are transforming pediatric TBI management by improving diagnostic precision, prognostic assessment, and CT scan decision-making. Given the heightened vulnerability of the developing brain, these technologies help mitigate risks associated with radiation exposure while enhancing outcome predictions, ultimately leading to safer and more effective patient care.

Zenodo (CERN European Organization for Nuclear Research)
Brain Mapping Foundation (US)
Openalex Percentile: Top 42%
Traumatic Brain Injury and Neurovascular Disturbances
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AI-Driven Prognostic Models for Pediatric Traumatic Brain Injury: Enhancing Outcome Prediction and Diagnosis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS