MSc Medical Visualisation & Human Anatomy School of Innovation & Technology

Chloe Levenson

(she/her/hers)

Hello, my name is Chloe Levenson! I have my Bachelor’s degree in Health Sciences from James Madison University. During my time at James Madison I fell in love with human anatomy as I was given the priveledge to do cadaveric dissections and wanted to pursue this as a masters’s degree. I have always had a passion for art, so when I came across Medical Visualisation & Human Anatomy, I knew it was the perfect program as it bridged the gap between art and science, as well as having the opportunity to do cadaveric dissections again. Throughout the year I broadened my knowledge as I acquired new skills from segmentation, 3D modeling, to application development.

During my undergraduate studies I was a certified Emergency Medical technician (EMT), so I was super excited to collaborate with the National Health Service (NHS) and Scottish Ambulance Service (SAS) for my master’s dissertation. My development ‘AR Dystocia Trainer’ is a mobile application using augmented reality to enhance and support ambulance clinician’s understanding of an obstetric emergency called ‘Shoulder Dystocia’.

Contact
Chloelevenson10@gmail.com
C.Levenson1@student.gsa.ac.uk
Works
AR Dystocia Trainer
Struck A Nerve

AR Dystocia Trainer

Ambulance clinicians continuously feel unprepared and experience a lack of confidence in their ability to handle obstetric emergencies. Shoulder dystocia is an unpredictable obstetric emergency that occurs when the head of the fetus has fully emerged, but the anterior shoulder remains stuck behind the pubic symphysis. If not treated quickly, this emergency could lead to maternal or fetal complications that could be fatal. Several manoeuvres need to be undertaken to manage shoulder dystocia. These manoeuvres must be done in a sequential step-by-step approach to ensure the best outcome for both mother and baby. To tackle this gap, a mobile Augmented Reality application ‘AR Dystocia Trainer’ was created. The aim of ‘AR Dystocia Trainer’ is to enhance and support ambulance clinicians’ understanding of shoulder dystocia through the use of easily accessible augmented visualisations of shoulder dystocia and required manoeuvres. The application was structured into three main functions, a quiz function, a 3D model visualising the anatomy of the pelvis, and augmented reality to visualise the manoevure as a whole. Several different software programs were used to execute this as the developmental process was split between 3D modeling and application development.

 

 

 

 

 

 

 

Introduction scene

main menu screen

Credits panel 2.0

Scenario 3

Question one scene

Anatomy scene

NHS Final logo

SAS_logo

AR Shoulder dystocia

AR Suprapubic

AR all fours

Struck A Nerve

‘Struck A Nerve’ was created for the interactive visualisation summative project, in collaboration with two other students, Kate Macdiarmid and Ashna Konjeti.

struck a nerve intro page

treatment page

treatment options page

diskectomy page