2 citations · 2 across the 2 of their papers we have counts for
3 papers
Enabling faster and more reliable sonographic assessment of gestational age through machine learning
Chace Lee, Angelica Willis, Christina Chen +8
Fetal ultrasounds are an essential part of prenatal care and can be used to estimate gestational age (GA). Accurate GA assessment is important for providing appropriate prenatal ca…
AI system for fetal ultrasound in low-resource settings
Ryan G. Gomes, Bellington Vwalika, Chace Lee +26
Despite considerable progress in maternal healthcare, maternal and perinatal deaths remain high in low-to-middle income countries. Fetal ultrasound is an important component of ant…
Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy +21
Tuberculosis (TB) is a top-10 cause of death worldwide. Though the WHO recommends chest radiographs (CXRs) for TB screening, the limited availability of CXR interpretation is a bar…