Translational Medical Research 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 …

Evaluating C-Reactive Protein Associated Risk Of Cardiovascular Disease In Patients With Autism Spectrum Disorder, Brandon Cunha, Andrea Iannuzzelli, Rohan Mehra

Rowan-Virtua Research Day

This study examines the relationship between C-reactive protein (CRP) levels and cardiovascular disease (CVD) risk in 293 patients with Autism Spectrum Disorder (ASD) from the Rowan-Virtua Regional Integrated Special Needs Center (RISN Center). Baseline CRP values were gathered from EMR and evaluated for CVD risk. ASD patients have increased prevalence of CVD risk factors, and the literature demonstrates a strong relationship between CRP and CVD risk in this population. Patients were stratified by severity of ASD to investigate potential differences. Severe limitations in EMR data and overall sample size limited the generalizability and significance of this study. Larger scale studies …