AI algorithm estimates gestational age of fetus on par with trained sonographer

New research out of NEJMdiscovered that a synthetic intelligence algorithm was in a position to estimate the gestational age of a fetus on par with a trained sonographer performing a fetal biometry.

The examine, which was carried out in North Carolina and Zambia, collected ultrasound sweeps from 4,695 pregnant volunteers. Researchers collected blind sweep movies on each a business ultrasound machine and on a portablelower-cost gadget, the Butterfly iQ.

“We trained a neural network to estimate gestational age from the sweeps and, in three test data sets, assessed the performance of the artificial intelligence (AI) model and biometry against previously established gestational age.”

Researchers report that the “deep learning model outperformed biometry, with an overall [mean absolute error] of 3.90.12 days”, in the meantime the biometry’s MAE was 4.70.15 days.

“Our data show that AI can estimate gestational age from a series of blindly obtained ultrasound sweeps with accuracy similar to that of a trained sonographer conducting standard biometry,” researchers of the examine wrote.

“This performance appears to extend to sweeps collected by untrained providers in Zambia using low-cost ultrasound devices. Whether this technology can be successfully disseminated into extant healthcare systems in low-resource settings will require further study.”


Maternal and toddler mortality remains to be a serious difficulty worldwide. According to the World Health Organizationin 2017 about 810 girls died daily from preventable causes associated to being pregnant and childbirth.

Low revenue international locations are most impacted by maternal deaths. WHO studies that in 2017 the maternal mortality price in low-income international locations was 462 per 100,000 reside births, in comparison with 11 per 100,000 reside births in high-income international locations.

The examine’s researchers pitch this know-how as a software to doubtlessly assist maternity care in each high- and low-income international locations.


Butterfly Network landed FDA clearance for its ultrasound scanner that makes use of easy-to-manufacture semiconductor chips. Recently the corporate rolled out a brand new ultrasound platform that is ready to combine right into a well being system’s scientific workflows.

Other corporations working within the maternal care house embody Royal Philips, which launched smartphone-connected ultrasound Lumify in 2015, and sensible ultrasound Exo, which nabbed $220 million in Series C funding.


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