RRH: Artificial intelligence improves the diagnosis of congenital heart defects before birth скачать в хорошем качестве

RRH: Artificial intelligence improves the diagnosis of congenital heart defects before birth

Congenital heart defects affect approximately 1% of all babies born each year and account for almost 20% of all newborn deaths. Early diagnosis while still in the womb can greatly improve an affected baby’s chance of survival. Unfortunately, diagnosis relies exclusively on ultrasound imaging, where accurate readings aren’t guaranteed. Researchers led by Masaaki Komatsu at RIKEN Center for Advanced Intelligence Project (AIP) in Japan are tackling this problem by enlisting the help of artificial intelligence. More importantly, they’re helping the doctors entrusted with patient care to understand how AI programs spot heart defects. Reference: Sakai et al. (2022). Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening. Biomedicines https://doi.org/10.3390/biomedicines1... Press release: https://www.riken.jp/en/news_pubs/res...