Lam-Rachlin et. al., “Use of Artificial Intelligence–Based Software to Aid in the Identification of Ultrasound Findings Associated With Fetal Congenital Heart Defects,” Obstetrics & Gynecology, 2025.
Rebarber et. al., “Optimizing screening for severe congenital heart defects on prenatal ultrasound using eight suspicious findings and artificial intelligence”, ISUOG abstract, 2025.
B-Right Views is an FDA-cleared Class II medical device, please refer to product regulatory information for more details.
B-Right Screen is an FDA-cleared Class II medical device, please refer to product regulatory information for more details.
https://childrensheartlink.org/congenital-heart-disease-facts/#:~:text=Every%205%20minutes%2C%2010%20children,1.3%20million%20children%20each%20year.
https://pmc.ncbi.nlm.nih.gov/articles/PMC7317409/
https://pubmed.ncbi.nlm.nih.gov/12084585/
https://pubmed.ncbi.nlm.nih.gov/18657826/
https://pubmed.ncbi.nlm.nih.gov/32795094/
Lam-Rachlin et. al., “Enhancing Ultrasound Standard View Completion in Fetal Heart Screening with an AI Software,” ISUOG abstract, 2025.
Zelop et al., “Artificial Intelligence Accurately Detects Fetal Ultrasound Findings Suspicious For Major Congenital Heart Defects,” Obstetrics & Gynecology, 2025. *Stats presented among conclusive cases.
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