Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by Human Experts: A Systematic Review and Meta-Analysis.
This research aims to evaluate the effectiveness of automated 3D segmentation of the upper airway compared to manual methods by experts.
Conducted a systematic review of existing studies
Analyzed the performance of AI vs human experts in CBCT and CT scans
Performed a meta-analysis to summarize findings quantitatively
AI demonstrated promising efficacy in upper airway segmentation
Significant variability in outcomes across studies was noted
More research is required for definitive conclusions on AI performance
Abstract
The results showed promising AI efficacies in 3D segmentation of the upper airway in CBCTs. However, much more studies are needed before decisive conclusions.
AI에게 질문
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AI에게 질문
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Efficacy of Automatic 3D Segmentation of the Upper Airway in CBCT or CT Scans via Artificial Intelligence Versus Manual Segmentation by Human Experts: A Systematic Review and Meta-Analysis. | Synapse