Three of Dream Team Engineering's teams had the opportunity to present their work at the 2023 UF CURBS Fall Undergraduate Research Symposium. The three teams that presented were the MRI Research Team, Cardiothoracic Research Team, and the SVT subteam from the Cardiothoracic Design Team. Members from these teams shared more about their projects below.
"The MRI Research Team, consisting of Dawson Veghte, Shreya Mathur, Ansh Parikh, Hannah Kennedy, and Ania Kelegama, is examining the positive impact of DTE's 3D printed MRI model on patients at Shands Hospital. They aim to explore potential correlations between patient interaction with the model MRI and reduced anxiety levels during MRI scans. Additionally, the team is assessing the effectiveness of the specially designed "underwater" themed imaging room. The poster titled "Quality Improvement in Pediatric Single-Location MRI: Immersive Therapeutic Play Preparation Using a Mock Scanner as a Low-Cost Replacement for Sedation," presented by the team, outlines the project's objectives and data collection methods. Currently, the team collaborates with physicians, medical students, and Child Life to initiate the IRB clinical study."
"We presented the Berlin Heart Educational Model that was created by the Cardiology Design team at Dream Team Engineering. Sneha, Vinni, Saketh, Ayush, Sanandan, and I wrote about the possible impact to patient outcomes through reducing patient anxiety with the creation of 3D printed patient education models. We suggested using STAIs (State-Trait Anxiety Inventories) on both the patient and their family to assess their levels of anxiety before and after the showing the patient education model. Overall, we think that through cost-effective 3D printing of patient education models; patient outcomes can improve due to a reduction of patient anxiety."
"Members Nina Fiedler, Ella Mendelowitz, and Sydney Sylvester of the SVT subteam from the Cardiothoracic Design Team presented their poster titled "Enhancing Patient Comprehension and Procedural Preparedness through a 3D-Printed Model of Supraventricular Tachychardia (SVT) Pathophysiology and Treatment Modalities". The team created a 3D-printed model of the heart exhibiting the specific pathophysiological features of SVT in order to strengthen patients' understanding of their condition and impending surgical strategies aiming to reduce patient anxiety. The team demonstrated the cardiac electrical conduction pathways on the 3D-printed model through customizable LEDs programmed with an Arduino. The team has completed their first iteration of the project and is currently working on adding additional features to complete a finalized model."