AI Accelerates Fetal Abnormality Detection in 20-Week Pregnancy Scans, UK Trial Shows

AI Revolutionizes 20-Week Pregnancy Scans

A groundbreaking trial led by King's College London and Guy's and St Thomas' NHS Foundation Trust has demonstrated that artificial intelligence (AI) can significantly enhance the efficiency of 20-week pregnancy scans without compromising accuracy or reliability. The study, published in NEJM AI, marks the first use of AI for 20-week pregnancy scans on real patients 1

1

.

Faster Detection of Fetal Abnormalities

The trial, involving 78 pregnant participants and 58 sonographers, found that AI-assisted scans reduced the scan length by over 40% compared to standard scans 2

2

. This significant time-saving allows sonographers to focus more on patient care and communication with expectant parents.

Dr. Thomas Day, lead author of the study and Clinical Research Fellow at King's College London, stated, "Our research has shown that AI-assisted scans are accurate, reliable and more efficient. We hope that using AI in these scans will free up precious time for sonographers to focus on patient care, making the experience more comfortable and reassuring for parents" 3

3

.

Enhanced Accuracy and Reliability

The AI-assisted scans automatically captured several thousand snapshots of each fetal measurement, compared to three taken by human sonographers. This increased volume of data resulted in more reliable measurements, potentially improving the accuracy of fetal growth and health assessments 1

1

.

Streamlined Scanning Process

The AI tool has transformed the scanning process by eliminating the need for sonographers to pause, save images, or measure during the scan. This results in fewer interruptions and a smoother experience for both the healthcare professional and the expectant parents 2

2

.

Real-World Impact

Ashleigh Louison, a trial participant, shared her experience of receiving an early diagnosis of heart disease for her son Lennox. She emphasized the importance of early detection, stating, "Receiving an early diagnosis for Lennox was really important, as it meant we could properly plan the road ahead" 1

1

.

Wider Implementation and Future Prospects

The AI tool is now being rolled out more widely through Fraiya, a University-NHS spinout company. Fraiya aims to create AI-powered tools for pregnancy ultrasound that improve medical diagnoses, support healthcare professionals, and enhance patient care 2

2

.

Professor Reza Razavi, senior author of the study, highlighted the potential of this technology: "Our study shows that combining cutting-edge AI with human expertise could make these scans much quicker and easier to do, whilst maintaining the accuracy and reliability of the scans. This is a great way of improving staff experience whilst also improving the care of mothers and babies" 1

1

.

As this AI technology continues to develop and expand, it has the potential to revolutionize prenatal care, offering faster, more accurate diagnoses and ultimately improving outcomes for both mothers and babies.