Surgalign Rolls Out HOLO AI Insights for Neurovascular Research

Surgalign has released HOLO AI Insights to be used for neurovascular research.
 
HOLO AI Insights was first launched in March 2020 for spine imaging. It enables users to utilize the HOLO artificial intelligence (AI) portfolio via a secure, scalable cloud platform to automate medical image analysis. HOLO AI uses convolutional neural network technology to automatically segment medical images, measure anatomic structures, automate pedicle screw planning, and perform other tasks.
 
The latest release addresses neurovascular research. HOLO AI Insights can now analyze large sets of cranial MRI images, automatically identify 16 different structures, and aggregate data into configurable graphical and file formats. The company believes the insights generated can have applications in population health, clinical research, and eventually patient care.
 
Surgalign partnered with Dr. Brian Jankowitz, a fellowship trained cerebrovascular neurosurgeon, for neurovascular research with HOLO AI Insights.
 
“Most of the AI work done in the neurovascular space has focused on acute care with CT imaging and doesn’t help with measurement,” he told the press. “HOLO AI Insights can automate volumetric analysis of vascular structures on MRI, which is a big leap forward in efficiency and more applicable to longitudinal comparisons than other tools available today,” said Dr. Jankowitz. “I believe that ultimately this technology will both speed our workflow and improve clinical guidelines by providing a significantly more detailed characterization of neurovascular structures.”
 
Dr. Jankowitz is a neurosurgery specialist with extensive experience in neurocritical care disorders. He is affiliated with the medical facilities Hospital of the University of Pennsylvania and Cooper University Hospital. 
 
“It’s an honor to partner with Dr. Jankowitz with a shared goal of advancing technology utilized by neuroanatomy researchers,” said Terry Rich, president and CEO of Surgalign. “Collecting patient-specific medical information from multiple sites to generate population level reports using AI technology holds tremendous promise to improve our knowledge of the brain. We believe processing larger volumes of data is an invaluable step to generate reference information to help medical professionals as we continue to look for new ways to leverage our AI portfolio.”