Publications by authors named "Dan Chow"
Background: Limited research has studied the influence of social determinants of health (SDoH) on the receipt, disease risk, and subsequent effectiveness of neutralizing monoclonal antibodies (nMAbs) for outpatient treatment of COVID-19.
Objective: To examine the influence of SDoH variables on receiving nMAb treatments and the risk of a poor COVID-19 outcome, as well as nMAb treatment effectiveness across SDoH subgroups.
Design: Retrospective observational study utilizing electronic health record data from four health systems.
Article Synopsis
- Hepatosplenomegaly is typically diagnosed by examining size measurements, but using volumetric assessments can lead to more accurate diagnoses of liver and spleen enlargement.
- Artificial intelligence, specifically convolutional neural networks (CNNs), has been employed to automatically segment and measure liver and spleen volumes from a large dataset of CT scans, achieving high accuracy when compared to manual measurements.
- The study found significant differences in liver and spleen volumes between genders, leading to sex-specific thresholds for diagnosing hepatomegaly and splenomegaly, with the CNNs outperforming radiologist assessments in accuracy and diagnostic performance.