A systematic review on deep learning in ventricular septal defect screening, diagnosis, and management

By afschroeder • May 12, 2026

Brem O, Pravda NS, Xu H, Nguyen KL, Husain M. A systematic review on deep learning in ventricular septal defect screening, diagnosis, and management. Ann Pediatr Cardiol. 2026 Jan-Feb;19(1):53-61. doi: 10.4103/apc.apc_163_25. Epub 2026 Apr 15. PMID: 42112056; PMCID: PMC13152100.

Tags: Artificial intelligence, cardiology, Cardiology/Epi, congenital heart defect, convoluted neural networks, Deep learning, informatics, Pediatrics, Post Doc, Publications, ventricular septal defect, Veterans Administration

Fatty Acid and Oxylipin Metabolism Differentiate Isolated Postcapillary From Combined Pre- and Postcapillary Pulmonary Hypertension

Alotaibi M, Tang A, Sun N, Gurholt I, Yuguchi E, Roberts K, Preston I, Warburton R, Yuan JX, Kim NH, Chan SY, Jain M, Cheng[...]

Artificial intelligence-enabled electrocardiography for detection of left ventricular diastolic dysfunction: a systematic review and meta-analysis

Edjimbi J, Shah N, Donisi L, Gajjar A, See C, Grimshaw AA, Diop HB, Ribeiro ALP, Marijon E, Clifford G, Gaye B. Artificial intelligence-enabled electrocardiography[...]

Heart failure among people with HIV: prescription of guideline-directed medical therapy

Cutshaw MK, Clare R, Chiswell K, Hofmann P, Pettit AC, Meissner E, Durstenfeld MS, Longenecker CT, Bloomfield GS, Okeke NL. Heart failure among people with[...]