Advanced Programing
Developing medical imaging training workflows using cutting edge frameworks
Latest technology
Powered by the UF HiPerGator x NVIDIA A100 tensor core GPus
AI for connectomics
Unlocking the relationships between brain networks
AI for neuromodulation
Using AI to understand the mechanism of action of clinical neuromodulation
A multidisciplinary approach to research
- Neurology
- Neurosurgery
- Neuropsychology
- Applied Physiology
- Psychiatry
- Rehabilitation therapy
- Biomedical engineering
- Computer science
NVIDIA A100 GPUs
Patient database
Imaging data
Cloud computing storage
Applying AI to neuromodulation
The field of neuromodulation has evolved from an operating room where the surgeon manually traces the DBS trajectory over a stereotactic atlas to a scene where the operating room has transformed into a multi-disciplinary laboratory. It is now a data science driven workshop where millions of multi-modal data points are collected and interpreted to deliver precision neuromodulation. This establishes the strong need for AI-powered technologies and solutions to facilitate this complex medical decision making process.