Software
Dream Team Software Engineering (DTSE) is our software development division. DTSE currently contains six subteams that are all focused on producing innovative technologies for patients and doctors through a combination of web apps, mobile apps, VR games, and software-controlled hardware.
Speech Language Development (SLD)
We are developing an AI-based tool for automatic speech recognition (ASR) of child speech, focused on structured assessments and language sample transcription, to support speech-language research and intervention.
VR MRI
The goal of VR MRI is to build a virtual reality simulation that replicates the experience of receiving an MRI. This project, in partnership with McKnight Brain Institute, will help patients become used to the claustrophobic and noisy environment before actually having the procedure.
Train of Four
This team aims to automate the Train of Four test, which assesses anesthetic levels within a patient. The team combines computer vision with a TensorFlow/Keras image processing framework to accurately quantify hand movements of a patient after an electrical stimulus. This measurement tool standardizes and collects critical information that inform anesthesiologists on the effect and delivery of medications.
TOAD
This project is an advanced machine learning pipeline designed to automate comprehensive analysis of knee osteoarthritis using convolutional neural networks (HRNet and U-Net) applied to histological slides. The goal is to expand SEKO's anatomical coverage to whole-joint segmentation, incorporate human histopathology data, and identify new predictive biomarkers like osteophytes.
Internal Team
A full-stack recruitment management platform designed to streamline the application process for Dream Team Engineering. The project will support branch-specific applications (software, design, shadowing, research), and a comprehensive review workflow. Built with a robust backend API featuring role-based access control, dynamic application forms, and real-time user synchronization via Clerk webhooks, this platform provides recruiters with powerful tools to manage applications from submission through acceptance.
Launchpad
Dream Team Engineering's Launchpad Team takes over unfinished products and help make them market ready! Last semester we worked on an app called GatorGoesToSurgery for Shands. The team is currently in the process of trying to get the app set up at Shands Hospital.
OR Table
The OR Table team seeks to reduce waste in open (non-laparoscopic) surgical procedures by identifying and cataloging the usage of surgical tools during operations. Dr. Jeremy Balch, a general surgery resident at UF, currently uses GoPro footage to capture video footage of the mayo stand, back table, and tray with a GoPro, analyzing tool usage with GAN-based model. This project aims to design a lightweight, sterilizable camera system (potentially Raspberry Pi-based) that can unobtrusively record surgical tools, and assist in collecting feasible surgical tool usage data. Ultimately, this will help assess and minimize unused instruments, reducing OR waste and costs.
Nodal Analysis
Description
Cardiac Data Device
The Cardiac Data Device is a wearable solution that continuously tracks heart rate and symptoms without requiring patient activation. Unlike current monitors that are costly and only capture brief data, this device offers extended monitoring, sends data to patients’ smartphones, and allows for private sharing with healthcare providers. Designed for compatibility with Apple Watch, it aims to empower patients in managing their cardiovascular health effectively.
NeuroSpine
Neurospine is a DTE research team focused on expanding AI-powered tools that spine surgeons can use to better assess vertebral bone quality prior to surgery. Current preoperative bone assessment relies heavily on DEXA scans, where a T-score of –2.5 defines osteoporosis and –2.4 defines osteopenia. This cutoff creates a significant clinical gray area: patients who fall just above the osteoporosis threshold may not qualify for treatment, despite having bone that may still be too weak to support spinal instrumentation. This nuance is critical in spine surgery, where screw fixation strength and fusion success depend heavily on bone quality.