CONCLUSIONS: AI-driven biomedical informatics holds significant potential to reduce diagnostic delays and costs in NDDs. However, reproducibility, interpretability, and ethical data integration must be improved through standardized, privacy-preserving, and auditable frameworks to enable scalable clinical deployment.
