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Clinical Evidence

Claims are easy. Evidence is on the record.

NeuroICH, the intracranial hemorrhage detection module of the AI Suite, is an FDA 510(k) cleared (K241719) AI module that detects intracranial hemorrhage on non-contrast head CT in under 60 seconds, with 97.5% sensitivity and 90.3% accuracy. Cleared by the FDA on November 7, 2024. This page collects the regulatory record, the validated performance data, and the peer-reviewed work behind SaveLife.AI.

Validated performance

These figures come from the validation behind FDA review of K241719, not from internal marketing benchmarks.

97.5%SensitivityIntracranial hemorrhage detection
90.3%AccuracyValidated for FDA review
<60 sDetection TimeFrom non-contrast head CT
<30 sAlert DeliveryAfter scan acquisition

Validation scope

  • Multiple patient age groups and both genders
  • Multiple CT scanner manufacturers, including Siemens and Philips
  • Various slice thicknesses and acquisition protocols
  • Hemorrhage subtype classification: IPH, IVH, SAH, SDH, EDH
  • Per-type confidence scores and visual localization markers

The regulatory record

Every fact below is verifiable in the FDA 510(k) database. Read the primary sources, not just our summary of them.

510(k) NumberK241719
Device NameNeuroICH
SubmittedJune 14, 2024
DecisionCleared, November 7, 2024
Regulation21 CFR 892.2080, radiological computer-assisted triage and notification software

Clearance status, module by module

Each clearance number belongs to its specific module and no other. We state review status plainly rather than implying the whole suite is cleared.

NeuroICHFDA 510(k) Cleared, K241719
MammoSightAIFDA 510(k) Cleared, K252954
CXRDetectAIFDA 510(k) Cleared, K253751
DenseViewAIClearance in review
NeuroLVOClearance in review

Peer-reviewed work

Selected publications from the SaveLife.AI clinical team, part of 27+ peer-reviewed publications, book chapters, and abstracts by Dr. Junaid Kalia, MD. The NeuroICH device validation itself is documented in the 510(k) record above.

2024
Patient-Reported Outcome Measures in Neurology for Web 3.0 and mHealth

OBM Neurobiology · doi:10.21926/obm.neurobiol.2401206

2022
Artificial Intelligence Assisted Acute Patient Journey

Frontiers in AI · doi:10.3389/frai.2022.962165

2022
Medical Education 4.0: A Neurology Perspective

Cureus · doi:10.7759/cureus.31668

2020
Role of Artificial Intelligence in TeleStroke

Frontiers in Neurology · doi:10.3389/fneur.2020.559322

2016
Idiopathic Inflammatory Myopathies: Clinical Approach

Frontiers in Neurology · doi:10.3389/fneur.2016.00064

2012
Clinical trial design for endovascular ischemic stroke intervention

Neurology · doi:10.1212/wnl.0b013e31826992cf

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See the evidence run in your workflow.

NeuroICH deploys inside RadioViewAI or through ConnectAI into your existing PACS and EHR, alerts in under 30 seconds included.

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