A groundbreaking AI-based software integrated with ultrasound technology offers precise, real-time guidance during childbirth. Using a traffic light system, the software evaluates the baby’s head position to assist operators in deciding the safest course of action—whether to proceed with a natural delivery, use a vacuum extractor, or perform an emergency cesarean. Developed by Professor Tullio Ghi and validated in a multicenter study with over 2,000 ultrasound images, this innovation achieved an impressive 94.5% accuracy in identifying fetal head position. The AI model addresses common challenges, such as fetal malposition, which often leads to prolonged labor or emergency interventions. By automating assessments that were previously prone to human error, the software ensures faster and more accurate decision-making, reducing risks for both mothers and babies. Expected to be available in delivery rooms by 2028, this AI-driven tool represents a major advancement in obstetrics, promising safer and more efficient deliveries worldwide.