Radiology Commons^™

Applications Of Deep Learning With Detecting Intracranial Aneurysms On Ct Angiograms: A Literature Review, Christian Fang, Emily Wang

Rowan-Virtua Research Day

INTRODUCTION

Deep learning is a method of artificial intelligence involving progressively layered neural networks to extrapolate patterns from data to provide predictions. Moreover, given the arduous nature required for examining CT scans for intracranial aneurysms, discovering ways to expedite this process is beneficial. The use of deep learning to evaluate CT angiograms for intracranial aneurysms has been sparsely studied. This literature review aims to determine the accuracy and reliability of deep learning to analyze CT angiograms in patients suspected to have intracranial aneurysms.

METHODS

A qualitative review of literature using PubMed, SCOPUS, and EMBASE was conducted. Inclusion criteria comprised articles …

Unveiling The Potential: The Role Of Ai-Enhanced Ecg In Cardiovascular Disease Detection, Alisha Vincent

Rowan-Virtua Research Day

Background: The Electrocardiogram (ECG) is a widely utilized, non-invasive, cost-effective cardiac test. Its integration with Artificial Intelligence (AI) has empowered it to become a potent screening tool and a predictor for various cardiovascular diseases, especially in asymptomatic individuals. Objective: This review investigates the utility of AI-powered ECG in early detection of cardiac conditions, focusing on conditions such as low ejection fraction (LEF), atrial fibrillation (AF), aortic valve stenosis (AVS), and cardiac amyloidosis (CA). Methods: A literature review spanning 2018 to 2024 was conducted, analyzing 10 articles - 3 on AF, 3 on AVS, 3 on LEF, and …

Ultrasound Versus Radiography For Evaluating Surgical Necrotizing Enterocolitis, Sayed H. Aftab, Santiago Martinez-Correa, Minh-Huy Huynh, Wondwossen T. Lerebo, Jorge Delgado, Rebecca Denis, Misun Hwang

Rowan-Virtua Research Day

Purpose:

Necrotizing enterocolitis (NEC) is an abdominal inflammatory condition that is common in premature neonates. Although abdominal radiograph (AR) remains the imaging standard for NEC, it may miss up to 50% of early signs of NEC and has been described to have a sensitivity as low as 15.4% for detecting pneumoperitoneum. Abdominal ultrasound (US) is portable, non-invasive, and allows real-time bowel integrity, movement, and perfusion assessment. We aim to evaluate the concordance between US and AR in detecting NEC features and the diagnostic performance of both modalities in detecting pneumoperitoneum.

Methods and materials:

We conducted an IRB-approved retrospective, cross-sectional, single-center …

Case Report: Use Of Bedside Handheld Ultrasound To Diagnose Finger Dislocation, Frank Wheeler, Philip Carhart, James Espinosa, Alan Lucerna, Henry Schuitema

Rowan-Virtua Research Day

Here we present the case of a 37-year-old male with a finger injury in which finger dislocation was suspected clinically. A bedside pocket ultrasound was performed using a water submersion technique, which identified a posterior dislocated right 2nd digit at the PIP joint. This finding was confirmed with an x-ray. This case report demonstrates that ultrasonography can be utilized to correctly identify finger dislocation. Although larger studies need to be performed to validate the accuracy of this imaging technique, the implications may improve care of the patient. It would also be particularly beneficial for this technique to be applied to …

C25: The “Spot Sign”: A Predictor Of Hematoma Expansion, Mckenzie Merritt

Annual Research Symposium

No abstract provided.