Emily Wang

Ms. Emily Wang


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
13 October 2023 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
VBVincent Bargnes
Vincent Bargnes
BOBrian Oliver
Brian Oliver
EWEmily Wang
Emily Wang
SGSeth H Greenspan
Seth H Greenspan
ZJZhaosheng (Jims) Jin
Zhaosheng (Jims) Jin
SBSergio D. Bergese
Sergio D. Bergese
Postoperative delirium (POD) represents a perioperative neurocognitive disorder that has dreaded ramifications on a patient’s recovery from surgery. Dexmedetomidine displays multiple mechanisms of neuroprotection to assist in preventing POD as a part of a comprehensive anesthetic care plan. This review will cover dexmedetomidine’s pharmacological overlap with the current etiological theories behind POD along with pre-clinical and clinical studies on POD prevention with dexmedetomidine. While the body of evidence surrounding the use of dexmedetomidine for POD prevention still requires further development, promising evidence exists for the use of dexmedetomidine in select dosing and circumstances to enhance recovery from surgery.

12 September 2023 in Journal of Plastic, Reconstructive & Aesthetic Surgery
Verified
Journal Article
Closed access
JZJoshua Zhu
Joshua Zhu
EWEmily Wang
Emily Wang
SLSteven Liu
Steven Liu
JKJessica Koos
Jessica Koos
LSLaurie Shroyer
Laurie Shroyer
AKAleksandra Krajewski
Aleksandra Krajewski

9 February 2024 in Journal of Plastic, Reconstructive & Aesthetic Surgery
Verified
Journal Article
Closed access
JZJoshua Zhu
Joshua Zhu
EWEmily Wang
Emily Wang
SLSteven Liu
Steven Liu
CGChad Gueli
Chad Gueli
APAurora D. Pryor
Aurora D. Pryor
AKAleksandra Krajewski
Aleksandra Krajewski

16 December 2020
Verified
Conference Paper
Closed access
AHAudrey Ha
Audrey Ha
JVJohn Schoeneman Vorhies
John Schoeneman Vorhies
ACAndrew Campion
Andrew Campion
CFCharles Fang
Charles Fang
MIMichael Fadell Ii
Michael Fadell Ii
BDBao Do
Bao Do
Skeletal maturity assessment plays an important role in the management of pediatric orthopedic conditions such as scoliosis, slipped capital femoral epiphysis (SCFE), and pectus. The most common methods to estimate bone age are the use of hand, shoulder, and pelvis x-rays; however, integrating multi-site data adds cost and ionizing radiation exposure. Whole body pediatric scoliosis x-rays, performed for measuring curvature of the spine, include in the field of view multiple development landmarks such as ossifications of the shoulder, pelvis, and proximal femurs in a single exam, potentially providing a comprehensive survey of skeletal maturity that can assist in surgical planning. Therefore, we propose a system to automatically extract multiple skeletal maturity classifications from a single whole body scoliosis x-ray exam. Since these anatomic regions of significance are as small as 2% of the image, we first apply a multi-class region proposal network to extract the humeral head and five pelvic regions based on the modified Oxford Bone Score. We then apply multiple compound scaling convolutional neural networks (EfficientNet) in parallel to clinically stage each region. Our regional detection achieved an F1-score of 0.99, and our staging models achieved an overall accuracy of 89% and intraclass correlation coefficient of 0.84. Our work holds promise for a skeletal maturity assessment system that uses a single image of the entire axial skeleton. This may enable more data points for surgical planning of orthopedic diseases in pediatric patients while minimizing exposure to harmful radiation.

3 February 2022 in Annals of Vascular Surgery
Verified
Journal Article
Closed access
SLSteven H Liu
Steven H Liu
BMBrandon Muncan
Brandon Muncan
EWEmily Wang
Emily Wang
NMNicholas J Moehringer
Nicholas J Moehringer
ASAyush Sangari
Ayush Sangari
LPLucyna Z Price
Lucyna Z Price

1 February 2020 in Future Healthcare Journal
Verified
Journal Article
Open access
PDF file
KPKieran Palmer
Kieran Palmer
EWEmily Wang
Emily Wang
MMManab Mohanty
Manab Mohanty
We identified all solid tumour and haematological oncology patients presenting to hospital as unwell post-chemotherapy using the electronic patient record (EPR) and referrals to the acute oncology service (AOS). We analysed compliance with NICE guidance and collected data over 6 months to establish a baseline. Firstly, we designed and implemented a robust standard operating procedure for neutropenic sepsis and the AOS delivered 6-monthly teaching to staff. Following this, to further improve our service, we introduced a cancer flagging icon within the EPR and on the emergency department (ED) whiteboard to immediately alert clinicians to patients who had recently undergone SACT. Posters were placed in the ED waiting room to educate patients for them to highlight to clinicians if they had also recently received treatment. We evaluated post-intervention data after both sets of interventions using the same criteria.