AI and machine learning have entered the mainstream lexicon and are of increasing utility in the healthcare continuum. But not all data need AI or ML to identify a problem and an opportunity for positive impact. Georgia Tech is a leader in the use of “big data” to solve big problems, including information from new bedside sensing technologies and Medicaid data from all 50 states. Medical sensors and devices can provide a flood of direct information about individual patients. Enormous amounts of data are also available from medical records of millions of patients in our state, region, nation, and world. Learning how to extract useful insights from such sources without compromising patient privacy is one of the most important areas of pediatric biomedical research today.
Projects
A snapshot of active and recent projects supporting pediatric innovation. Click a project to view details.
Featured projects

Modeling the Effects of Orthognathic Surgery on Obstructive Sleep Apnea
An AI-driven research project that uses medical imaging and clinical data to predict obstructive sleep apnea risk and evaluate how jaw surgery can improve airway function in pediatric patients.
Wearable Sensor Validation Study
Testing reliability, comfort, and data quality of wrist and ankle sensors in kids.
Clinic-to-Home Telemetry Trial
A feasibility study for continuous monitoring outside the clinic.
Remote Patient Data Platform
Secure pipeline for collecting and reviewing at-home measurements.
VR Therapy Engagement Study
Measuring adherence and engagement with guided VR therapy sessions.
Outcomes Dashboard & Reporting
A shared view of metrics to support program evaluation and reporting.