Artificial Intelligence-Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study.

Woocheol Jang,Yong Sung Choi, Ji Yoo Kim,Dong Keon Yon,Young Joo Lee,Sung-Hoon Chung,Chae Young Kim,Seung Geun Yeo,Jinseok Lee

Journal of medical Internet research（2023）

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摘要

Our artificial intelligence model may be useful for preparations for neonatal resuscitation, particularly in cases involving the delivery of very low birth weight infants, as it can aid in predicting the likelihood of RDS and inform decisions regarding the administration of surfactant.

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artificial intelligence, deep neural network, premature infants, respiratory distress syndrome, AI, AI model, pediatrics, neonatal, maternal health, machine learning

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