Radiology Commons^™

Use Of Ultrasound For Diagnosis Of Pneumonia In Adults, A Review, Dafang Chen, Rodrigo Cavallazzi

The University of Louisville Journal of Respiratory Infections

Pneumonia is a common lung infection with significant morbidity and mortality. Currently, the diagnosis of pneumonia is made by patient history confirmed with chest radiograph or computed tomography. These modalities, however, have limitations including low accuracy, radiation exposure, and high cost. Lung ultrasound has become more prevalent in evaluating pulmonary conditions and has shown to be highly accurate in the diagnosis of pneumonia. The purpose of this review is to discuss sonographic findings associated with pneumonia, techniques used to obtain quality images, and the evidence in literature supporting the use of lung ultrasound in the diagnosis of pneumonia. Numerous studies …

Going Beyond The Final Impression With Radiologic Data In The Era Of Clerical Medicine: A Case Report Of Coronary Artery Disease Found Incidentally On Computed Tomography, Andrea M. Lauffer

Marshall Journal of Medicine

Introduction:

Given the challenges in modern healthcare, physicians find themselves devoting a great deal of mental and emotional energy into executing the appropriate care for patients as well as performing their daily clerical duties. Many clinicians have resorted to innovative ways to minimize their tasks which often leads to narrowing the focus of a patient’s overall care and the birth of medical errors described in the Swiss cheese effect model.

Case Description:

A 66 year old male established care with a new primary care physician. Previous radiologic data revealed a pulmonary nodule that did not have appropriate follow up imaging. …

Deep Gaze Velocity Analysis During Mammographic Reading For Biometric Identification Of Radiologists, Hong-Jun Yoon, Folami Alamudun, Kathy Hudson, Garnetta Morin-Ducote, Georgia Tourassi

Journal of Human Performance in Extreme Environments

Several studies have confirmed that the gaze velocity of the human eye can be utilized as a behavioral biometric or personalized biomarker. In this study, we leverage the local feature representation capacity of convolutional neural networks (CNNs) for eye gaze velocity analysis as the basis for biometric identification of radiologists performing breast cancer screening. Using gaze data collected from 10 radiologists reading 100 mammograms of various diagnoses, we compared the performance of a CNN-based classification algorithm with two deep learning classifiers, deep neural network and deep belief network, and a previously presented hidden Markov model classifier. The study showed that …