A new AI-powered software has been shown to be more accurate than doctors in identifying potential congenital heart defects during prenatal ultrasounds. The software, developed by BrightHeart, significantly improved detection rates for both OB-GYNs and maternal-fetal medicine specialists, regardless of their experience level. This breakthrough has the potential to improve early detection and management of heart defects in babies.
A new AI-based software has proven to be significantly more effective in detecting potential congenital heart defects in prenatal ultrasounds compared to doctors evaluating the tests independently. This groundbreaking finding was reported at the Society for Maternal-Fetal Medicine meeting in Denver on Thursday. The AI system demonstrably enhanced the ability of both OB-GYNs and maternal-fetal medicine specialists to identify suspicious ultrasounds indicating congenital heart defects .
According to lead researcher Dr. Jennifer Lam-Rachlin, director of fetal cardiology at the University of California, San Francisco, approximately one in 100 babies is born with a heart defect serious enough to necessitate surgery or medical intervention within their first year of life. Prenatal ultrasounds offer a crucial early warning system for such heart defects, but these scans are often analyzed by doctors lacking extensive training in this area. Dr. Lam-Rachlin highlighted that at least half of prenatal ultrasounds performed in the United States are reviewed by non-specialists, including OB-GYNs who may not possess specialized training in detecting congenital heart defects. This lack of expertise contributes to the relatively low detection rate of congenital heart defects, even in developed countries like the U.S.In this study, a group of 14 OB-GYNs and maternal-fetal medicine specialists with varying levels of experience, ranging from one year to over three decades, randomly assessed 200 prenatal ultrasounds collected from 11 hospitals across two countries. The doctors sometimes analyzed the ultrasounds with the assistance of AI, while other times they reviewed them independently. The results revealed a significant improvement in doctors' ability to detect potential congenital heart defects when using the AI system. This enhancement was observed across all experience levels and specialties, demonstrating the AI's broad applicability. Additionally, doctors using AI reported increased confidence in their diagnoses and a reduction in the time required to determine if a case was suspicious. Dr. Christophe Gardella, Chief Technical Officer of BrightHeart, the Paris-based manufacturer of the AI-based software, emphasized that most congenital heart defects occur in pregnancies classified as low risk, meaning the pregnant person is more likely to be seen by an OB-GYN rather than a maternal-fetal medicine subspecialist with greater expertise in detecting heart defects. BrightHeart received U.S. Food and Drug Administration (FDA) approval for its AI software in November 2023 and is currently preparing for its commercial launch in the U.S.
AI Congenital Heart Defects Ultrasound Prenatal Care Medical Technology
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
OpenAI's o3 AI Model Outperforms Google's Gemini 2.0 in Reasoning TestsOpenAI has unveiled its latest AI model, o3, showcasing significant improvements in logical reasoning compared to its predecessor, o1. This development comes just a day after Google announced its own reasoning model, Gemini 2.0 Flash Thinking. Both models demonstrate the escalating competition between the tech giants in the field of AI.
Read more »
The Power of Memories: How Your Brain Outperforms ComputersThis article explores the remarkable capabilities of the human brain, particularly its ability to store and retrieve memories. It examines how memories, formed through repeated practice, allow us to perform complex tasks with ease, drawing an analogy between memory formation and applying paint to a wall.
Read more »
Solana Outperforms in Q4 2024, ETF Approvals PendingSolana (SOL) saw strong price performance in Q4 2024, surpassing both Ethereum and Bitcoin. The potential for a Solana ETF is driving investor interest, with several firms awaiting SEC approval.
Read more »
AI Outperforms Doctors in Detecting Ovarian CancerA new study published in Nature Medicine shows that AI models are more accurate than human doctors at detecting ovarian cancer. The AI model, trained on over 17,000 ultrasound images, achieved an 86% accuracy rate compared to 82% for human experts and 77% for those with less experience.
Read more »
Smaller Gaming Operator Rush Street Interactive Outperforms Rivals in Stock MarketRush Street Interactive, the parent company of BetRivers, saw a significant stock price increase in December 2024, outperforming larger competitors despite a sluggish market overall.
Read more »
Pythagoras Alpha Long Biased Strategy Outperforms Bitcoin in 2024Pythagoras Investment Management's Alpha Long Biased Strategy generated a 204% return in 2024, significantly outperforming Bitcoin's 121% rise. The strategy utilizes a base position in Bitcoin and two uncorrelated strategies to generate alpha.
Read more »