Figure 2.

AI-enhanced workflow for feto-maternal health: The process involves rigorous data preprocessing, feature extraction, and AI model training for precise medical diagnoses. Iterative feedback loops, including real-time fetal monitoring and risk assessment with tailored treatment recommendations. In cases of inconclusive results, a dynamic feedback mechanism directs the data back to the AI model training or medical diagnosis steps, or even to reconsider the patient data, ensuring continuous refinement until conclusive outcomes are achieved.

Abbreviations: ML, Machine Learning; NLP, Natural Language Processing; ANN, Artificial Neural Networks.