Area of research
Radiology, Nuclear Medicine and Imaging · Emergency Medicine
Research interest
Research focused on Appendicitis and Radiology, with related work in Coronavirus disease 2019 (COVID-19), Interpretation (philosophy), Alliance. Notable publications include 'Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial', 'Managing radiation exposure in children—reexamining the role of ultrasound in the diagnosis of appendicitis', and 'The challenging ultrasound diagnosis of perforated appendicitis in children: constellations of sonographic findings improve specificity'.
Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial
Preserving Radiology Resident Education During the COVID-19 Pandemic: The Simulated Daily Readout
A think-aloud study to inform the design of radiograph interpretation practice
Developing an Education Budget for Radiology Vice Chairs and Leaders: An ADVICER Template
The challenging ultrasound diagnosis of perforated appendicitis in children: constellations of sonographic findings improve specificity
Managing radiation exposure in children—reexamining the role of ultrasound in the diagnosis of appendicitis