Several real-world applications of ML in neonatal care demonstrate its transformative potential:
Sepsis Prediction: ML algorithms can analyze physiological data to predict sepsis, a potentially fatal condition, before clinical symptoms appear. Neonatal Abstinence Syndrome: Predictive models can help identify newborns at risk for this condition, allowing for early intervention. Retinopathy of Prematurity: ML can assist in the early diagnosis and treatment of this eye disorder, which can lead to blindness if untreated. Hypoxic-Ischemic Encephalopathy: AI models can help predict outcomes and guide treatment for this condition, which results from oxygen deprivation.
