"When not relying on AI, practitioners face many challenges," said Brosset."During a screening exam, the practitioner must, within a limited time frame, take 30 to 50 images; interpret each image in real time and quickly decide what the next best action is during the exam, perform technical gestures with precision, detect anomalies in the fetus and attempt to make a diagnosis or rule out a syndrome.
"By using AI technology, practitioners can call upon all clinical knowledge available in real-time," said Brosset."Combined with the physician's expertise, the use of AI enables practitioners to perform the best examination possible, with consistency, ensure quality standards are met for each exam while increasing efficiency and detect anomalies automatically without the possibility of human error.
Brosset believes that AI in fetal ultrasounds can be a quality control tool, helping healthcare professionals ensure all images meet quality standards. "In the near future, it will help identify potential anomalies and also increase efficiency by relieving the health care provider from repetitive and low-value-added tasks."An increasing number of diseases are treatable, either before or right after birth, and we hope that by uncovering malformations more systematically and improving diagnosis capabilities, patients will receive better treatment," said Brosset.
Brosset says that eliminating low-value tasks from healthcare providers will give them more time to care for patients.
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