Publications

Enhancing Ultrasound Standard View Completion in Fetal Heart Screening with an AI Software

Lam-Rachlin J, Fox N, Do S, Gupta S, Gelber S, Spiegelman J, Inglis SR, Muoser C, Tang X, Stos B, Askinazi E, de Boisredon M, Thorey V, Gardella C, Levy M, Rebarber A

Ultrasound in Obstetrics & Gynecology 66, no. S1 (2025): 79–82.

AI software enhances the detection of findings suspicious for severe congenital heart defects onprenatal ultrasounds by OBGYN/MFM Specialists

Lam-Rachlin J, Punn R, Behera S, Geiger M, Lachaud M, David N, Garmel S, Fox N, Rebarber A, DeVore G, Zelop C, Janssen M, Sylvester-Armstrong K, Kennedy J, Spiegelman J, Heiligenstein M, Bessis R, Mobeen S, Kia F, Friedman C, Melka S, Stos B, de Boisredon M, Askinazi E, Thorey V, Gardella C, Levy M, Arunamata A

Fetal Medicine Foundation, 2025.

Evaluation of an AI Software for Improved Scanning of the Fetal Heart During Routine Anatomic Ultrasound

Lam-Rachlin J, Fox N, Do S, Gupta S, Gelber S, Spiegelman J, Inglis S, Muoser C, Tang X, Stos B, Askinazi E, de Boisredon M, Thorey V, Gardella C, Lévy M, Rebarber A

Fetal Medicine Foundation, 2025.

AI Significantly Improves Detection of Prenatal Ultrasounds Suspicious for Major Congenital Heart Defects by OBGYN/MFMs

Lam-Rachlin, J., Punn, R., Behera, S., Geiger, M., Lauchaud, M., David, N., Garmel, S., et al. 

Pregnancy, 1:e12002: 3-4, 2025

Artificial Intelligence System Accurately Detects Fetal Ultrasound Findings Suspicious For Major Congenital Heart Defects

Zelop, C., Lam-Rachlin, J., Arunamata, A., Punn, R., Behera, S., Lauchaud, M., David, N., et al. 

Pregnancy, 1:e12008: 2, 2025

AI-Enhanced Detection of Congenital Heart Disease Suspicion in Second Trimester Ultrasounds by OBGYN and MFM

Lam-Rachlin, J., Punn, R., Lachaud, M., David, N. , Garmel, S., Bessis, R., Heiligenstein, M. et al.

Ultrasound in Obstetrics & Gynecology 64, no. S1: 63–63, 2024

Robust and Accurate Measurement of Semilunar Valves in Second Trimester Fetal Ultrasound Using an AI System

DeVore, G.R., Coll, A.C., Obayashi, D.Y., Levy, M., Stos, B., Askinazi, E., Thorey, V., De Boisredon, M., Gardella, C. & Silverman, N.H.

Ultrasound in Obstetrics & Gynecology 64, no. S1: 108–108, 2024

Accurate AI Measurements of Ventricular Area in Second Trimester Fetal Ultrasound Video Clips

Lam-Rachlin, J., Schwartz, N., DeVore, G.R., Fox, N., Rebarber, A., Levy, M., Stos, B. et al.

Ultrasound in Obstetrics & Gynecology 64, no. S1: 120–21, 2024

Accurate Detection of Atrioventricular Septal Defect (AVSD) in Fetal Ultrasound Using Artificial Intelligence

Stos, B., Lévy, M., Héry, E., Durand, I., Askinazi, E., Thorey, V., de Boisredon, M. & Gardella, C.

Archives of Cardiovascular Diseases, SI : FCPC 2024, 117, no. 8, Supplement: S220–21, 2024

High accuracy detection of transposition of the great arteries in 2nd trimester fetal ultrasound using artificial intelligence

Boukobza, P., Durand, I., Joly, H., Girardot, R., Stos, B., Askinazi, E., Thorey, V., de Boisredon, M., Gardella, C. & Lévy, M.

Fetal Medicine Foundation, 2024.

Overriding aorta identification using artificial intelligence applied to second-trimester fetal ultrasound

Stos, B., Levy, M., Askinazi, E., Constensoux, A., Thorey, V. & Gardella, C.

Archives of Cardiovascular Diseases, JESFC 2024, 117, no. 1, Supplement: S71–72, 2024

Identification of abnormal ventricular asymmetry in 2nd trimester fetal ultrasound using artificial intelligence

Levy, M., Stos, B., Thorey, V., Askinazi, E. & Gardella, C.

European Heart Journal 44 (Supplement 2), ehad655. 060, 2023

Evaluation of a Deep Neural Network for Detection of D-Transposition of the Great Arteries on Fetal Echocardiograms

Arunamata, A., Levy, M., Stos, B., Askinazi, E., Thorey, V. & Gardella, C.

Circulation 148 (Supplement 1), A13945-A13945, 2023

Detection of Atrioventricular Valve Malformation Using Artificial Intelligence Applied to Second Trimester Fetal Ultrasound

Lévy, M., Stos, B., Thorey, V., Askinazi, E., Mairovitz, V. & Gardella, C.

Ultrasound in Obstetrics & Gynecology 62, no. S1: 103–4, 2023

Optimizing screening for severe congenital heart defects on prenatal ultrasound using eight suspicious findings and artificial intelligence

Rebarber A, Zelop CM, Geiger M, Lam-Rachlin J, Arunamata A, Punn R, Behera SK, Lachaud M, David N, DeVore GR, Fox N, Garmel S, Boukobza P, Uzan P, Joly H, Girardot R, Cohen L, Stos B, de Boisredon M, Askinazi E, Thorey V, Gardella C, Levy M

Ultrasound in Obstetrics & Gynecology 66, no. S1 (2025): 36–39.

Detection of Findings Suspicious for Severe Congenital Heart Defects on Fetal Echocardiograms by an Artificial Intelligence-Based Software

Levy M, Crosby C, Arunamata A, Lam-Rachlin J, Geiger M, Stos B, de Boisredon M, Thorey V, Askinazi E, Gardella C, Patel S

Archives of Cardiovascular Diseases, 21st Medical-Surgical Annual Congress of the FCPC, vol. 118, nos 8, Supplement (2025): S278.

Artificial Intelligence for the Detection of Fetal Ultrasound Findings Concerning for Major Congenital Heart Defects

Zelop CM, Lam-Rachlin J, Arunamata A, Punn R, Behera SK, Lachaud M, David N, DeVore GR, Rebarber A, Fox NS, Gayanilo M, Garmel S, Boukobza P, Uzan P, Joly H, Girardot R, Cohen L, Stos B, de Boisredon M, Askinazi E, Thorey V, Gardella C, Levy M, Geiger M

Obstetrics & Gynecology. DOI: 10.1097/AOG.0000000000006027, August 7, 2025.

Use of Artificial Intelligence–Based Software to Aid in the Identification of Ultrasound Findings Associated With Fetal Congenital Heart Defects

Lam-Rachlin J, Punn R, Behera SK, Geiger M, Lachaud M, David N, Garmel S, Fox NS, Rebarber A, DeVore GR, Zelop CM, Janssen MK, Sylvester-Armstrong KR, Kennedy J, Spiegelman J, Heiligenstein M, Bessis R, Mobeen S, Kia F, Friedman C, Melka S, Stos B, de Boisredon M, Askinazi E, Thorey V, Gardella C, Levy M, Arunamata A

Obstetrics & Gynecology. DOI: 10.1097/AOG.0000000000006087, October 16, 2025.