Arteys Neuro AI is a platform to assist with the multiple neuro-radiology workflows. It includes a brain oncology processing suite powered by Imaging Biometrics and a stroke detection software powered by Avicenna.AI. Neuro AI is a cloud-based platform that integrates within the radiology ecosystem (RIS, PACS, dictation).
Product specifications Information source: Vendor
Last updated: March 9, 2021
Product name Neuro AI
Company Arterys
Subspeciality Neuro
Modality CT, MR
Disease targeted Intracranial Hemorrhage, Stroke, brain oncology, brain tumours
Key-features large vessel occlusion detection, hemorrhage detection, notification, MRI-DSC post-processing, generation of perfusion parameter maps and vascular input function (rCBV, rCBF Tmax, MTT, Time to Peak, kTrans, kVp, deltaT1)
Suggested use Before: flagging acute findings
During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
After: diagnosis verification
Data characteristics
Population Adult patients suspected of stroke, all patients suspected with or diagnosed with brain tumor
Input multi-parametric MRI including DSC, DCE and diffusion MRI and pre/post contrast T1, non-contrast CT, CTA
Input format DICOM
Output Multi-parametric MR maps, bounding box for stroke and hemorrhage location, notification, report
Output format DICOM, secondary capture, viewer objects
Integration Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased
Deployment Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc., Auto-routing from PACS
Processing time < 3 sec
Certified, Class IIa
510(k) cleared, Class II
Market presence
On market since 2020-12-01 00:00:00
Distribution channels Humanbyte
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing model Pay-per-use, Subscription
Based on Number of users, Number of analyses
Peer reviewed papers on performance

  • Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons (read)

  • Comparison of dynamic susceptibility-weighted contrast-enhanced MR methods: recommendations for measuring relative cerebral blood volume in brain tumors (read)

Non-peer reviewed papers on performance
Other relevant papers

  • Artificial Intelligence and Acute Stroke Imaging (read)