Cost-effectiveness analysis of AI-based image quality control for perinatal ultrasound screening

Cost-effectiveness analysis of AI-based image quality control for perinatal ultrasound screening

Abstract Purpose This study aimed to compare the cost-effectiveness of AI-based approaches with manual approaches in ultrasound image quality control (QC). Methods Eligible ultrasonographers and pregnant volunteers were prospectively recruited from the Hunan Maternal and Child Health Hospital in May...

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Bibliographic Details
Main Authors: Yihan Tan, Yulin Peng, Liangyu Guo, Dongmei Liu, Yingchun Luo
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Education
Subjects:
Ultrasonography, prenatal
Artificial intelligence
Education, medical, continuing
Cost-benefit analysis
Quality control
Online Access:https://doi.org/10.1186/s12909-024-06477-w

Internet

https://doi.org/10.1186/s12909-024-06477-w

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