Machine Learning to Improve Accuracy of Transcutaneous Bilirubinometry

CONCLUSION: Using machine learning with transcutaneous bilirubin, total serum bilirubin estimation error was reduced by 25%. This integration could increase accuracy, lessen infant discomfort, and simplify procedures, offering a smart alternative to blood draws by accurately estimating phototherapy thresholds.PMID:38684146 | DOI:10.1159/000535970

Source: Neonatology - April 29, 2024 Category: Perinatology & Neonatology Authors: Daisaku Morimoto Yosuke Washio Kana Fukuda Takeshi Sato Tomoka Okamura Hirokazu Watanabe Junko Yoshimoto Maki Tanioka Hirokazu Tsukahara Source Type: research