Summary: This paper describes the development of a deep learning model for prediction of hip fractures on pelvic radiographs (X-rays).Developed using over 40,000 pelvic radiographs from a single institution, the model demonstrated high sansamp rack sensitivity and specificity when applied to a test set of emergency department radiographs.This study
Introduction Our primary purpose is to understand comorbidities and health outcomes associated with electronic nicotine delivery systems (ENDS) use.Methods Study participants were Kaiser Permanente (KP) members from eight US regions who joined the Kaiser Permanente Research Bank (KPRB) from September 2015 through December 2019 and completed a quest
In the road network, mix-zone is usually considered as an efficient application that provides a balance between privacy protection and service quality.At the same time, the mix-zone can also resist the attack of tracking without any affection in the quality of feedback result of navigation.However, just as the old adage goes, nobody is perfect, the
Abstract Background In some in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) cycles, we may consider transferring one poor-quality embryo with one good-quality embryo.Previous studies have indicated that the poor-quality embryo transferred with a good-quality embryo does not negatively affect the clinical pregnancy rate or li