Why HOLO AI
More than 90% of patient-generated health data is in the form of unstructured medical imaging data.
More than 90% of patient-generated health data is in the form of unstructured medical imaging data.
EMC Digital Universe & IDC: The Digital Universe Driving Data Growth in Health Care: Challenges and Opportunities for IT (2014)
The Solution
HOLO AI Insights translates raw patient imaging data into structured datasets of clinically relevant biomarkers.
This helps hospitals, payors and researchers gain insights into their patient population
to drive improvements in productivity and cost-efficiency.
How It Works
HOLO AI Insights uses convolutional neural networks to analyze medical images and segment anatomy at scale.
Upload your image datasets for processing and HOLO AI Insights returns image biomarkers as a structured dataset in multiple formats for quick analysis using your existing statistical tools.
HOLO AI technology is also used in our HOLO Portal Surgical Guidance System. Click here to learn more.
Key Benefits
Discover Insights in your patient population.
HOLO AI Insights automatically processes medical imaging for you to provide consistent and objective results. Results are combined with patient population data to create valuable datasets that may be analyzed using existing statistical tools.
HOLO AI Insights saves significant time by automating previously manual segmentation and measurement tasks.
Our Mission
Surgalign is applying AI across the continuum of care to improve patient satisfaction.
We use AI to provide key clinical biomarkers from medical imaging that enhance prognostication and drive performance improvements in predictive outcome models.
This results in improvements in productivity and cost-efficiency.
Our powerful suite of AI software is designed to automatically analyze and measure anatomic structures on medical imaging datasets.
Our goal is to provide consistent, objective, and automatic reporting for all neuroimaging users.
Our goal is to provide consistent, objective, and automatic reporting for all neuroimaging users.
Get Started with HOLO AI Insights
Surgalign is enabling unprecedented clinical research and new technology development by analyzing key structures in medical imaging datasets at scale.
We are actively collaborating with clinicians, researchers and other interested parties to further the application of machine learning algorithms to diagnostic neuroimaging, including common pathologies and their treatment.
Current collaboration opportunities include investigation into:
Identification of radiologic parameters for implementation of practice guidelines and recommendations
Evaluate the potential for time savings for data collection, imaging processing, and reporting
Longitudinal tracking of MRI (not time-critical) from consecutive subjects
Longitudinal tracking of MRI (not time-critical) from consecutive subjects
Automation and algorithm validation for data analysis of patient demographics, risk factors, and specific imaging findings
Retrospective analysis of patient-specific medical information (e.g., EHR) for correlation studies
Automation and algorithm validation for data analysis of patient demographics, risk factors, and specific imaging findings
Retrospective analysis of patient-specific medical information (e.g., EHR) for correlation studies