Rapid MLS

by iSchemaview, Inc. (operating as RapidAI)  · Based in United States → — Redefining AI imaging with cutting-edge stroke AI
Neurology Neurosurgery Radiology
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Regulatory Status Disclosed

Overview

Rapid MLS, developed by iSchemaview (operating as RapidAI), is an AI-powered software designed to analyze non-contrast CT (NCCT) scans. It accurately measures and visually displays brain midline shifts, providing quantitative data and annotated images to assist clinicians. This tool supports the assessment of critical neurological conditions such as intracranial hemorrhage and traumatic brain injury, aiding in faster and more informed clinical decision-making. Rapid MLS utilizes advanced machine learning algorithms to process DICOM format images and delivers results in annotated images and JSON reports. It is an integral part of the broader RapidAI platform, which offers a comprehensive suite of AI-driven solutions for cerebrovascular imaging and stroke care, including modules for ICH, ASPECTS, CTA, LVO, and HVS. The platform integrates with existing hospital systems like PACS and EMR, and provides real-time alerts and collaboration features via a mobile app, enhancing communication and workflow efficiency for stroke teams globally.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered analysis of non-contrast CT scans
  • Measures and visually displays brain midline shifts
  • Provides quantitative measurements and annotated images
  • Supports assessment of intracranial hemorrhage and traumatic brain injury
  • Utilizes machine learning algorithms for image analysis
  • Processes DICOM format images
  • Outputs JSON reports with quantitative measurements
  • Integration with PACS, email, and mobile app for result dissemination
  • Real-time alerts and notifications for urgent cases
  • In-app messaging for team collaboration
  • EMR integration for patient case summaries
  • Advanced 3D imaging reconstruction (for broader RapidAI platform)

Use Cases

  • Assessing intracranial hemorrhage
  • Assessing traumatic brain injury
  • Triage and decision-making in acute neurological emergencies
  • Quantifying mass effect and herniation risk
  • Expediting diagnosis in neurovascular cases
  • Streamlining treatment decisions for stroke patients

What Physicians Need to Know

Stroke Detection Speed
RapidAI's platform, including modules like Rapid LVO, processes CT scans in 1-6 minutes, significantly faster than traditional workflows (15-60 minutes). Rapid LVO can detect anterior circulation LVO with a mean average time of 3 minutes 30 seconds. [10, 19] This accelerates clinical decision-making and helps identify patients who may benefit from thrombectomy. [12]
Brain MRI/CT Analysis
RapidAI analyzes brain CT and MRI images to aid in diagnosing and treating conditions like stroke and subdural hematomas. [3] The platform facilitates viewing, processing, and analysis of CT imaging. [8] Rapid DeltaFuse, a module, automatically aligns and co-registers serial non-contrast head CTs to visualize subtle intracranial changes. [16, 24, 26, 28, 29]
Large Vessel Occlusion Detection
RapidAI offers Rapid LVO and Rapid LMVO modules for large vessel occlusion detection. Rapid LVO has demonstrated high sensitivity (96%) and specificity (98%) for anterior circulation LVO. [10] RapidAI has shown to outperform competitors in identifying LVOs (98% detection) and medium vessel occlusions (MeVOs), detecting 33% more MeVOs than a leading competitor. [2, 13, 14] Rapid NCCT Stroke is an FDA-cleared solution for suspected LVO. [6]
Triage Prioritization Speed
RapidAI provides real-time alerts for suspected cases, expediting treatment decisions by delivering results within minutes. [1, 3] Studies show a median image-to-notification time of 6 minutes with RapidAI, a significant reduction from 38 minutes without AI. [19] This enhances care coordination and decision-making across teams. [17]
ASPECTS Score Automation
Rapid ASPECTS automatically generates a standardized Alberta Stroke Program Early CT Score (ASPECTS) from non-contrast CT scans, aiding in thrombectomy eligibility determination. [6, 11, 23] It visualizes ischemic changes and can improve reader accuracy by 10%, delivering scores in under 2 minutes. [6] The software also enhances interrater agreement and accuracy, particularly for non-neuroradiologists. [15, 20]
Mobile Notification System
The Rapid mobile app provides real-time collaboration and instant notifications for urgent cases, allowing care teams to receive results and preview images on the go. [1, 9, 32] It facilitates secure communication and workflow initiation prior to patient arrival. [6, 32]
Midline Shift (MLS) Detection and Quantification
Rapid MLS detects and quantifies suspected midline shift, a key indicator of brain injury, providing objective visualization with a mean absolute error of 0.8 mm. [16, 17, 24, 26, 27, 28, 29] This module supports earlier recognition of significant shifts in brain structure and accelerates care coordination. [17] Rapid MLS received FDA clearance in November 2025. [16, 24, 26, 27, 28, 29, 30]
Physician Tip

RapidAI's platform, including Rapid MLS, offers significant advantages for neurologists and neuroimaging specialists by providing rapid, AI-driven analysis of CT/MRI scans for stroke and brain injury. Leverage the automated ASPECTS scoring and LVO/MeVO detection for faster, more consistent diagnostic decisions and thrombectomy eligibility assessment. Utilize the mobile notification system for real-time alerts and seamless team communication, especially for time-sensitive conditions. The objective quantification of midline shift with Rapid MLS can aid in earlier recognition of critical brain changes and streamline care coordination. Remember that AI tools like RapidAI are intended to complement, not replace, clinical interpretation. [8]

RapidAI integrates seamlessly into existing hospital systems, including PACS, EHR, and reporting systems. [3, 5, 29] It supports interoperability with third-party platforms and algorithms, such as Pulsara for enhanced real-time team communication and image sharing. [4, 7] The platform's modules are integrated into the Rapid Edge Cloud and accessible via the Rapid mobile and web applications, ensuring broad accessibility and workflow efficiency. [1, 5, 29]

Details

Category Neurology AI, Radiology & Imaging AI
Pricing Not specified — Not specified
DeploymentIntegrated platform (likely on-premise or cloud-based with hospital system integrations)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status 1 AI-estimated

Rapid MLS (K243378) is an AI-powered software that analyzes non-contrast CT scans to measure and visually display brain midline shifts, aiding in the assessment of intracranial hemorrhage and traumatic brain injury. It received FDA approval on May 28, 2025.
Integrations
EHR Not specified
Specialties Neurology, Neurosurgery, Radiology

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Press & Coverage

RapidAI
RapidAI Extends the Reach of Deep Clinical AI with Five New FDA Clearances
RapidAI announced five new FDA clearances for its imaging modules, including Rapid MLS, expanding its Rapid Enterprise Platform for radiology, neurology, and vascular care. Rapid MLS detects and quantifies suspected midline shift, a key indicator of brain injury.
2025-11
Axis Imaging News
RapidAI Receives FDA Clearance for Five New Imaging Modules
RapidAI received FDA clearance for five new imaging modules, including Rapid MLS, which detects and quantifies suspected midline shift with a mean absolute error of 0.8 mm. This expands the company's platform across stroke, brain injury, hydrocephalus, and aortic assessment.
2026-01
NeuroNews International
RapidAI gains US FDA clearances for five new imaging modules - NeuroNews
RapidAI secured FDA clearances for five new imaging modules, including Rapid MLS, which provides objective visualization and quantification of suspected midline shift. These clearances reinforce RapidAI's platform for deep clinical intelligence and seamless workflow integration.
2025-11
Medical Product Manufacturing News
RapidAI Expands Deep Clinical AI Portfolio with 5 New FDA Nods
RapidAI announced five new FDA clearances, including Rapid MLS, which quantifies suspected midline shift with high accuracy. The company aims to reduce cognitive burden for radiologists and improve clinical decision-making.
2025-11
AuntMinnie
RapidAI gets 5 new FDA clearances - AuntMinnie
RapidAI obtained FDA clearance for five imaging modules, including Rapid MLS for detecting and quantifying midline shift, and Rapid OH, which qualifies for CMS New Technology Add-on Payment. These modules are integrated into the Rapid Enterprise platform.
2025-11
Health IT Answers
Health IT Business News - December 4, 2025 - Health IT Answers
RapidAI announced FDA clearance for five new imaging modules, including Rapid MLS, expanding its Rapid Enterprise Platform. This reinforces RapidAI's position as a leader in deep clinical AI and integrated IT infrastructure for hospitals.
2025-12
American Heart Association Journals (Stroke)
Abstract DP043: Automated Midline Shift Quantification with Rapid MLS: Transforming Acute Neurological Patient Care | Stroke - American Heart Association Journals
A study presented at the American Heart Association's Stroke journal evaluated Rapid MLS, an automated software for quantifying midline shift on non-contrast CT scans. The study concluded that Rapid MLS provides fast, reproducible, and accurate measurements comparable to expert neuroradiologists.
2026-01
ResearchGate
Automated Midline Shift Quantification with Rapid MLS: Transforming Acute Neurological Patient Care | Request PDF - ResearchGate
This multicenter study assessed Rapid MLS software for quantifying midline shift, finding its automated measurements on non-contrast CT scans to be highly accurate and comparable to expert neuroradiologists. The tool aims to enhance triage and decision-making in acute neurological emergencies.
2026-02

Videos

Product demos, reviews, and walkthroughs for Rapid MLS.

View all on YouTube

Frequently Asked Questions

Rapid MLS is an AI-powered imaging module designed to detect and quantify suspected midline shift, a critical indicator of brain injury. It helps expedite triage and transfer decisions by providing rapid analysis of CT scans.
Physicians must ensure that AI tools like Rapid MLS comply with evolving healthcare AI regulations, including HIPAA for data privacy and FDA clearances for medical devices. Local validation of AI tools within specific clinical contexts is also a non-negotiable and ongoing requirement.
Healthcare AI tools, including Rapid MLS, are subject to strict privacy regulations, requiring robust data protection protocols like encryption, access controls, and regular security assessments. Organizations must also establish appropriate business associate agreements with AI vendors to ensure responsible management of protected health information.
While specific accuracy metrics for Rapid MLS were not detailed, general concerns for healthcare AI include potential biases if models are trained on unrepresentative datasets, and the need for ongoing validation to ensure performance. Physicians should understand the data used to train the model and its limitations.
Rapid MLS is designed to be fully integrated into the Rapid Enterprise platform, which includes cloud-first and on-premise capabilities. It is built to work across existing PACS, EHR, and reporting systems to streamline operations and provide seamless workflow integration.
Traditional methods for detecting midline shift rely on manual interpretation of imaging by radiologists and neurologists. Rapid MLS offers an AI-powered solution to automate and potentially accelerate this detection, aiming to reduce human error and improve efficiency in urgent care settings.
Specific pricing models for Rapid MLS are not publicly detailed, but generally, AI solutions in healthcare can involve subscription fees, per-use charges, or enterprise licensing. Facilities should consider the total cost of ownership, including integration, training, and ongoing support, when evaluating adoption.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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