SUMMARY
William D. Freeman, M.D., studies stroke, subarachnoid hemorrhage and brain-injury mechanisms, with an emphasis on patients with severe acute neurological disease. Dr. Freeman's research integrates precision medicine, neuroimaging analytics and artificial intelligence to quantify hemorrhage burden, predict outcomes and support clinical decisions in neurocritical care. His work includes automated volumetric computation, explainable artificial intelligence frameworks, multimodal data integration, and translational studies of biomarkers, pharmacogenomics and intracranial physiology.
Dr. Freeman's subarachnoid hemorrhage research uses computed tomography, secure cloud-based pipelines, and multisite data sets to link bleeding volume with mortality and functional outcomes. His team also studies intraventricular drug delivery, hemorrhagic stroke therapeutics, cerebrospinal fluid biomarkers and simulation-based systems approaches that connect bedside care with computational tools.
Focus areas
- Hemorrhage volumetric prediction. Dr. Freeman develops artificial intelligence tools that measure blood volume after subarachnoid hemorrhage. His team studies how hemorrhage burden, age and neurological status predict mortality, disability and delayed cerebral ischemia.
- Neurocritical care therapeutics. Dr. Freeman studies severe stroke and brain hemorrhage in intensive care populations. He evaluates intraventricular drug delivery, cerebrospinal fluid biomarkers, and experimental approaches that may improve treatment after subarachnoid or intracerebral hemorrhage.
- Precision cerebrovascular medicine. Dr. Freeman investigates pharmacogenomics, genetic risk and biomarker patterns in stroke and cerebrovascular disease. His work addresses why patients respond differently to therapies and how individualized data could guide safer treatment.
- Remote care and simulation. Dr. Freeman uses simulation, telemedicine, robotics and just-in-time guidance systems to improve acute neurological care. His work targets gaps in rural and resource-limited settings where specialist expertise may be harder to access.
Significance to patient care
Serious brain bleeding can be hard to measure quickly, and small changes shown on brain scans may affect a patient's chance of recovery. Through his research, Dr. Freeman helps healthcare teams find, measure and track bleeding more accurately. This may help care teams identify patients who are at high-risk for bleeding sooner, choose treatments more clearly, and plan care after stroke or brain injury.
Dr. Freeman's work in simulation and remote support also helps medical teams practice safer care and bring expert guidance to patients who may not be near a large medical center.
Professional highlights
- Co-principal investigator, "Platform Accelerating Rural Access to Distributed and Integrated Medical Care Program", Multimodal Multi-Medical Task Adaptive Guidance System, Advanced Research Projects Agency for Health, 2025-2029.
- Mayo Clinic:
- Louis V. Gerstner Artificial Intelligence Award, 2025.
- Richard M. Schulze Innovation Award in Artificial Intelligence, 2025.
- Scholar, Gerstner Scholars Program in Artificial Intelligence Translation, Gerstner Philanthropies and Mayo Clinic, 2024.
- Member, International Steering Committee, National Institutes of Health-funded, "Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage III Trial," 2012-2017.