Despite its potential, AI-driven personalized learning in neonatal disorders faces several challenges:
1. Data Privacy: Ensuring the privacy and security of patient data is paramount. 2. Algorithm Bias: AI systems must be carefully designed to avoid biases that could lead to unequal care or misinformation. 3. Accessibility: Ensuring that all users, regardless of their technological proficiency, can access and benefit from AI-driven resources.
