Neural networks enhance diagnostic accuracy by analyzing large volumes of data quickly and efficiently. For instance, they can identify abnormalities in neonatal brain imaging that may indicate conditions like intraventricular hemorrhage or hypoxic-ischemic encephalopathy. Early and accurate diagnosis can significantly improve treatment outcomes.
