The AI ​​is almost twice faster to detect fetal anomalies, according to study

The study, conducted in 78 pregnant women, with the help of 58 ultrasound, was led by researchers at the King’s College in London, in collaboration with the Foundation of the Saint Thomas Hospital.

The test showed that the ultrasound made with the help of AI were 42% faster than conventional ultrasound.

The results were published in Nejm AI, a version of the New England Journal of Medicine dedicated to artificial intelligence.

The essay focused on looking for heart problems in ultrasounds carried out during the twentieth week of pregnancy, although researchers said IA could look for any fetal anomaly.

“Our research has shown that ultrasounds carried out with AI are precise, reliable and more efficient,” said the main author of the study, Dr. Thomas Day.

In his opinion, technology eliminates the need for pauses that ultrasounds need to measure and record images during their medical examination.

“We hope that the use of AI in these ultrasound will release valuable time for ultrasound so that they can focus on patient care, making the experience more comfortable and reassuring for parents,” he added.

Ashleight Louison was one of the pregnant women who participated in the essay.

Artificial intelligence ultrasound detected heart disease in his child Nonato, Lennox.

“Receiving an early diagnosis of Lennox was very important because it allowed us to properly plan the way to follow,” he said, as cited in the study statement.

The use of this new technology is being implemented in several London hospitals.