Publications by authors named "Nakul Reddy"

Background: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.

Objective: The purpose of this study was to determine whether a CNN and radiologists can accurately predict bone age from radiographs using only the index finger rather than the whole hand.

Materials And Methods: We used a public anonymized dataset provided by the Radiological Society of North America (RSNA) pediatric bone age challenge.

View Article and Find Full Text PDF

Visceral aneurysms of the pancreaticoduodenal arcades are rare. Although these aneurysms are often asymptomatic and identified incidentally on cross-sectional imaging, aneurysm rupture presents significant morbidity. Ruptured pancreaticoduodenal arcade aneurysms typically present with abdominal pain, hemorrhagic shock, or gastrointestinal bleeding.

View Article and Find Full Text PDF

Purpose: To determine the feasibility of using deep learning with a multiview approach, similar to how a human radiologist reviews multiple images, for binomial classification of acute pediatric elbow radiographic abnormalities.

Materials And Methods: A total of 21 456 radiographic studies containing 58 817 images of the elbow and associated radiology reports over the course of a 4-year period from January 2014 through December 2017 at a dedicated children's hospital were retrospectively retrieved. Mean age was 7.

View Article and Find Full Text PDF

Foreign bodies in the spine are most commonly traumatic and managed in an acute setting. A few case reports describe foreign bodies resulting in delayed neurologic dysfunction, most commonly iatrogenic or from penetrating injury. We present a 30-year old man with lower extremity weakness from an intradural extramedullary foreign body granuloma secondary to a thorn, which was initially thought to represent an aggressive malignant process with intra and extramedullary involvement on MR.

View Article and Find Full Text PDF

Willfully controlling the focus of an extracellular stimulus remains a significant challenge in the development of neural prosthetics and therapeutic devices. In part, this is due to the fact that experimental validation of the evoked response to stimuli is an arduous and time-consuming task. The development of a high-throughput data acquisition and analysis tool would greatly facilitate the design of spatially selective stimulation protocols.

View Article and Find Full Text PDF