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Last Posted: Jan 24, 2023

• Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity Score.
  Eilts Sonja K et al. JAMA network open 2023 6(1) e2251512
• Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms.
  Ramanathan Ashwin et al. Eye (London, England) 2022
• Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia.
  Cole Emily et al. Ophthalmology science 2022 2(4) 100165
• Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study.
  Liu Zheng et al. Frontiers in pediatrics 2022 10899954
• Missed Cystic Fibrosis Newborn Screening Cases due to Immunoreactive Trypsinogen Levels below Program Cutoffs: A National Survey of Risk Factors.
  Kharrazi Martin et al. International journal of neonatal screening 2022 8(4)
• Clinical and economic evaluation of a proteomic biomarker preterm birth risk predictor: Cost-effectiveness modeling of prenatal interventions applied to predicted higher-risk pregnancies within a large and diverse cohort.
  Burchard Julja et al. Journal of medical economics 2022 1-51
• Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review.
  Yang Qiuyu et al. Acta obstetricia et gynecologica Scandinavica 2022
• Bedside tracking of functional autonomic age in preterm infants.
  Iyer Kartik K et al. Pediatric research 2022
• Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015.
  Wong Kingsley et al. Scientific reports 2022 12(1) 19153
• Improved Training Efficiency for Retinopathy of Prematurity Deep Learning Models Using Comparison versus Class Labels.
  Hanif Adam et al. Ophthalmology science 2022 2(2) 100122

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