The Contribution of Real-Time Artificial Intelligence Segmentation in Maxillofacial Trauma Emergencies

The Contribution of Real-Time Artificial Intelligence Segmentation in Maxillofacial Trauma Emergencies

<b>Background/Objectives:</b> Maxillofacial trauma poses significant challenges in emergency medicine, requiring rapid interventions to minimize morbidity and mortality. Traditional segmentation methods are time-consuming and error-prone, particularly in high-pressure settings. Real-time...

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Bibliographic Details
Main Authors: Amjad Shhadeh, Shadi Daoud, Idan Redenski, Daniel Oren, Adeeb Zoabi, Fares Kablan, Samer Srouji
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Diagnostics
Subjects:
artificial intelligence
AI in clinical decision support
auto-segmentation
maxillofacial trauma
emergency medicine
real-time imaging
Online Access:https://www.mdpi.com/2075-4418/15/8/984
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