University of Jeddah pioneers AI device for preterm birth detection

The University of Jeddah has unveiled a groundbreaking device that utilizes artificial intelligence technology and internet connectivity to detect preterm births. This innovative device, developed by Dr. Qamar Nayteh and Dr. Youssef Al-Sohafi from the university's College of Computer Science and Engineering, accurately measures the amniotic fluid levels within the fetal sac, allowing for early identification of potential issues.

Early detection is crucial as it enables timely medical interventions to support the development of fetal lungs and ensure placental health. The device has received international acclaim, including a gold medal and award at a prestigious exhibition in Romania, showcasing the excellence of Saudi innovations on a global platform.

By incorporating ultrasonic sensors and AI technology, the device provides precise measurements, reduces false alarms, and allows for remote monitoring. Health professionals can easily track a patient's progress through mobile applications, minimizing the need for frequent hospital visits. Moreover, the device features a user-friendly interface that empowers pregnant women to monitor their amniotic fluid levels conveniently from their homes.

The development of this device marks a significant advancement in the field of maternal and fetal health. With its cutting-edge technology and user-friendly design, it not only enhances the monitoring process for healthcare providers but also empowers expectant mothers to take charge of their prenatal care. The University of Jeddah's innovative approach to addressing preterm births sets a new standard for healthcare solutions, emphasizing the importance of early detection and intervention in ensuring the well-being of both mothers and babies.