SwiftSight-Brain

by AIRS Medical  · Based in South Korea → — One Unified AI Platform for Faster, Smarter MRI
Geriatrics Neurology Radiology

Regulatory Status Disclosed

Overview

SwiftSight-Brain, developed by AIRS Medical, is an AI-powered solution designed to provide consistent and highly accurate brain health measurements from MRI scans. It addresses the challenge of tracking changes in brain health, particularly when patients undergo MRI scans across different scanners or locations, by eliminating scanner-induced volume variations that can confound longitudinal monitoring.

The tool expands what MRI reveals, offering objective health insights and enabling clinicians to monitor brain health over time with reliable quantitative data. It segments structures that conventional tools often cannot reliably quantify, such as brainstem, choroid plexus volumetry, and full lobar breakdown for cortical and subcortical regions.

SwiftSight-Brain operates through a proprietary automated internal pipeline that performs segmentation, volume calculation, and report generation. The results are presented in a dedicated graphical user interface, allowing users to browse segmentations and measures, compare results to a healthy reference population, and generate downloadable PDF reports. It also includes automated quality control functions, such as scan protocol verification.

This software is intended for automatic labeling, visualization, and volumetric quantification of segmentable brain structures and lesions from a set of MR images, with volumetric data comparable to reference percentile data.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Longitudinal volume tracking with percentile comparisons across brain regions
  • Regional volume analysis for Alzheimer's and related neurodegenerative conditions
  • Quantitative assessment of hippocampal asymmetry
  • Comprehensive brain morphometry analysis
  • White Matter Hyperintensity (WMH) burden quantification and regional distribution analysis
  • Consistent brain volumetry and quantification regardless of MRI manufacturer or field strength
  • Segmentation of structures conventional tools cannot reliably quantify (e.g., brainstem, choroid plexus volumetry, full lobar breakdown)
  • Patient-friendly reports
  • Automated internal pipeline for segmentation, volume calculation, and report generation
  • Automated quality control functions including scan protocol verification

Use Cases

  • Monitoring brain health over time with reliable quantitative data
  • Tracking neurodegenerative conditions such as Alzheimer's disease and dementia
  • Detecting lateralized structural abnormalities
  • Supporting neurological diagnosis
  • Assessing structural MRIs in routine patient care
  • Quantifying White Matter Hyperintensity burden and regional distribution

What Physicians Need to Know

Brain MRI/CT Analysis
SwiftSight-Brain is an AI-powered brain MRI quantification software that automatically processes brain MRI scans to produce quantitative volumetric measurements and MS lesion analysis. It segments the brain into anatomical subregions, calculates the volume of each, and compares these volumes against an age- and sex-matched normative database. The software is FDA 510(k)-cleared for automatic labeling, visualization, and volumetric quantification of segmentable brain structures and lesions from MR images. It requires 3D T1-weighted and FLAIR sequences for analysis. The system yields reproducible results that correlate well with expert manual segmentation, with lesion segmentation accuracy exceeding 0.80 Dice's coefficient. It can track lesions consistently across different scanners and over time, minimizing cross-scanner variation. SwiftSight-Brain provides region-specific, age- and sex-adjusted percentiles across the full structural atlas, which helps clinicians identify diverging regional patterns and quantitatively track longitudinal changes. The normative database includes 32,615 subjects, ages 18 to 97, from various scanner vendors (Siemens Healthineers, GE, Philips) and field strengths (1.5T and 3T), and international populations. The software also generates physician-supportive reports and easy-to-understand reports for patients.
Neurodegenerative Disease Screening
SwiftSight-Brain supports the monitoring of neurodegenerative conditions like Alzheimer's disease and dementia by providing reliable quantitative data and consistent tracking across MRI machines, regardless of make or model. It offers regional volume analysis for Alzheimer's and related neurodegenerative conditions, and longitudinal volume tracking with percentile comparisons across brain regions for brain atrophy. The tool helps in the earlier recognition of subtle atrophic changes by providing region-specific, age- and sex-adjusted percentiles across the full structural atlas.
Large Vessel Occlusion Detection
SwiftMR-enhanced 4D-TWIST MRA has been shown to improve image quality, increase radiologist confidence, and reduce the time required to assess large vessel occlusion in patients evaluated for suspected acute ischemic stroke.
ASPECTS Score Automation
The provided information does not mention ASPECTS Score Automation for SwiftSight-Brain. However, it does highlight that AI stroke detection systems generally achieve 90-95% accuracy for identifying large vessel occlusions (LVOs) and intracerebral hemorrhages, and can analyze CT scans in 1-6 minutes, cutting door-to-notification time by 30-52%.
Physician Tip

SwiftSight-Brain offers objective, quantitative MRI measurements that can be crucial for longitudinal assessment and tracking of neurological conditions. The ability to track changes consistently across different MRI scanners and vendors is a significant advantage, reducing variability that can confound long-term monitoring. Utilize the region-specific percentile outputs to identify subtle atrophic changes and diverging regional patterns, which can aid in earlier diagnosis and personalized treatment strategies for neurodegenerative diseases. The patient-friendly reports can also be valuable for patient education and engagement in their own brain health management. Always remember that these quantitative measures are intended to support, not replace, clinical diagnosis.

SwiftSight-Brain generates reports that are returned to PACS. The SwiftSight-Hub component handles DICOM reception from MRI/PACS and supports PACS Query/Retrieve (PACS-QR) to automatically retrieve prior studies for longitudinal analysis. It also allows for custom longitudinal analysis by manually selecting prior studies. SwiftMR, a related product, is compatible with all MRI vendors and scanner models (GE, Siemens, Philips, Canon, Fujifilm, Fonar, and others) at field strengths from 0.25T to 3.0T, including open and upright MRI systems. SwiftMR is also FDA-cleared to work with OEM deep-learning MRI solutions.

Details

Category Neurology AI, Radiology & Imaging AI
Pricing Unknown
Free TrialUnknown
TrainingUnknown
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Geriatrics, Neurology, Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

SwiftSight-Brain is an AI-powered software developed by AIRS Medical for quantitative brain MRI analysis. It automatically processes brain MRI scans to provide volumetric measurements of brain structures and lesions, and tracks changes over time, including new, enlarging, or stable lesions. The software is FDA 510(k)-cleared and designed to integrate with PACS-based workflows, offering objective imaging data to support clinicians and patients.

Overall: Positive

Strengths

  • Provides volumetric measurements of brain structures and lesions.
  • Tracks lesion changes over time, classifying them as new, enlarging, or stable.
  • Minimizes cross-scanner variation by normalizing and improving image quality.
  • Generates physician-supportive and easy-to-understand patient reports.
  • Supports longitudinal progression tracking, offering quantitative measures for assessing disease activity and treatment response.
  • Built on a large normative database of adults for objective comparison.

Limitations

  • Some Reddit users express concern about AI algorithms potentially fabricating non-physical structures or interpreting pathology as noise, though this is debated.
  • The conflation of machine learning/deep learning image enhancement with generative AI/LLMs can be confusing for some in radiology.
  • Results must be reviewed by a medical professional.

Based on reviews from: airframe.ai, reddit.com, unite.ai, fda.gov, healthcareaiops.com, airsmed.com, prnewswire.com, appliedradiology.com

Last updated: 2026-10-28

Ratings & Reviews

No reviews yet. Be the first to review this tool!

Rate SwiftSight-Brain

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

airsmed.com
AIRS Medical to Debut AI-Powered Brain Health Quantification and Reporting Solution SwiftSight™-Brain at RSNA 2025
AIRS Medical announced it will unveil SwiftSight, an AI-powered brain health quantification and reporting tool, at the 2025 Radiological Society of North America (RSNA) conference. This solution aims to monitor brain health over time with reliable quantitative data and track consistently across various MRI machines.
2025-11
airsmed.com
Q3 2026 Product Releases: AIRS Medical Advances MRI Intelligence Platform with New Enterprise, Workflow and Quantitative Imaging Capabilities
AIRS Medical announced its Q3 2026 product releases, detailing advances in its MRI intelligence platform, including SwiftMR, SwiftSight-Brain, workflow automation, and MRI Body Composition. The company is expanding the SwiftSight platform to include AI-powered segmentation, quantitative measurement, and reporting for brain health.
2026-09
fda.gov
FDA 510(k) Premarket Notification for SwiftSight-Brain (SS25-BR-CL)
The FDA granted 510(k) clearance for SwiftSight-Brain (SS25-BR-CL), an automated MR image analysis software that provides labeling, visualization, and volumetric quantification of brain structures. The software generates segmented images and morphometric reports to support clinicians in assessing structural MRIs.
2025-09
airsmed.com
What's New at RSNA 2026
AIRS Medical will showcase SwiftSight-Brain at RSNA 2026, highlighting its quantitative brain MRI capabilities for longitudinal assessment, including segmentation, volumetry, and asymmetry analysis. The solution is designed to provide reproducible longitudinal assessment across different scanner manufacturers and field strengths.
2026-11
airsmed.com
SwiftSight-Brain Normative Database: Scale, Diversity, and Clinical Meaning
AIRS Medical expanded the SwiftSight-Brain Normative Database to include 32,615 subjects aged 18 to 97, acquired across various MRI scanners and field strengths. This expanded database aims to provide a broader foundation for interpreting brain volumetry in clinical practice and support more stable age- and sex-adjusted percentile estimation.
2026-07
airsmed.com
SwiftSight-Brain v1.0.4.0 Release Notes
SwiftSight-Brain v1.0.4.0 introduces updates to longitudinal analysis workflows, improved settings organization, and enhanced patient privacy. It also includes an 'Auto Detect Prior Studies' configuration option at the institution level for longitudinal analysis.
2026-06
airsmed.com
SwiftSight-Brain minimizes cross-scanner variation
SwiftSight-Brain minimizes cross-scanner variation by normalizing and improving image quality before comparing exams, classifying lesions as new, enlarging, or stable. This allows for consistent tracking of lesions despite differences in scanner models, field strengths, or vendors.
unknown
airsmed.com
AIRS Medical Named Finalist in the 2026 Digital Health & AI Awards
AIRS Medical was named a finalist in the 'Best in Class – Healthy Lifespan, Longevity & Prevention' category at the 2026 Digital Health & AI Awards, recognizing its work in consistent quantitative brain MRI through SwiftSight®.
2026-09

Videos

Product demos, reviews, and walkthroughs for SwiftSight-Brain.

View all on YouTube

Frequently Asked Questions

SwiftSight-Brain is AI-powered software that automatically processes brain MRI scans to provide quantitative volumetric measurements and MS lesion analysis. It generates reports that are returned to PACS, designed to support clinicians with objective imaging data. Neurologists can use it for tracking lesion changes over time, identifying new lesions, monitoring disease progression in conditions like MS, and quantifying brain atrophy patterns associated with various neurological disorders.
SwiftSight-Brain is FDA 510(k)-cleared for automatic labeling, visualization, and volumetric quantification of segmentable brain structures and lesions from MR images, with volumetric data compared to reference percentile data. AIRS Medical outlines its security practices for SwiftSight in an Information Security Compliance white paper, detailing measures for data transmission, access control, and certifications for compliance with HIPAA, GDPR, and SOC2 Type II.
While the prompt asks for alternatives, the provided search results do not offer a direct comparison of SwiftSight-Brain to specific competing products in detail. However, SwiftSight-Brain aims to provide consistent brain volumetry and quantification regardless of MRI manufacturer or field strength, minimizing cross-scanner variation. It also utilizes a large normative database of over 32,000 subjects for comparison.
The provided search results do not contain specific pricing information for SwiftSight-Brain. However, AIRS Medical's related product, SwiftMR, is noted to help facilities generate new revenue and avoid capital costs by optimizing existing MRI equipment.
SwiftSight-Brain's quantitative measures are intended to support, not replace, a clinician's own diagnosis. While it analyzes and quantifies brain atrophy patterns, it cannot be used to fully diagnose diseases like dementia or epilepsy. The system requires two sequences: 3D T1-weighted and FLAIR. Neurologists should interpret results within the clinical context, understanding that the software provides objective imaging data to aid their assessment.

Related Tools

Parkiwatch
Koios Care
Neurology AI
Parkiwatch by Koios Care is a Class IIa Software as a Medical Device (EU MDR 2017/745) for continuous, passive detection and quantitative assessment of kinematic patterns representative of tremor, bradykinesia, and dyskinesia in adults with Parkinson's Disease.
CortiCare (Virtual EEG Department)
CortiCare
Neurology AI
CortiCare offers 24/7 remote EEG monitoring and interpretation services, functioning as a virtual EEG department to assist hospitals and neurology practices in identifying seizures and other neurological conditions.
NeuroAstra
Avinya NeuroTech
Clinical Decision Support & Reference
NeuroAstra is an AI-enabled EEG analysis and reporting software that provides a multimodal clinical EEG web platform with Co-Pilot AI to help neuro care teams detect abnormal trends faster and standardize reporting.
Cercare Medical Oncology Virtual Expert
Cercare Medical
Neurology AI
Cercare Medical's Oncology Virtual Expert is an AI-powered brain tumor segmentation module that provides fast, consistent, and semi-automated tumor analysis from standard MRI data, designed for on-premise deployment within existing clinical radiology workflows.
CoLumbo C-Spine
Smart Soft Healthcare AD
Clinical Decision Support & Reference
CoLumbo C-Spine is an AI-powered software that processes and analyzes cervical spine MRI exams, assisting clinicians in diagnosis and assessment.
MeRT System
Wave Neuroscience
Mental & Behavioral Health AI
MeRT (Magnetic e-Resonance Therapy) is an advanced, personalized form of TMS that uses your own brainwave data to guide treatment. It's a non-invasive, drug-free option designed to help the brain communicate more efficiently so symptoms of conditions like depression, anxiety, PTSD, TBI, autism, and more can improve.

See all Neurology AI tools →

More from AIRS Medical

SwiftMR
AIRS Medical
Radiology & Imaging AI
SwiftMR is an FDA-cleared, AI-powered MRI image reconstruction software from AIRS Medical that reduces scan times by up to 50% and enhances image quality across all MRI vendors and sequences, without requiring hardware upgrades.

View company profile →

Suggest an Edit → | Report an issue | Last Verified: 2026-10-14 | First Added: 2026-04-17

Investors who backed SwiftSight-Brain

Funded through the company that built this tool.

AI Tool Finder
AI-powered search. Results may not be comprehensive.