NinesAI

by Nines (AI assets acquired by Sirona Medical)  · Based in United States →AI-powered solutions to redefine radiology and deliver next-level patient care.
Neurology Oncology Radiology

Contact vendor (sirona medical)
Regulatory Status Disclosed

Overview

NinesAI, developed by Nines, was an artificial intelligence tool designed to assist radiologists in the interpretation and prioritization of medical images. Its core functionalities included the automated radiological review of CT Head images for the possible presence of time-critical indications such as intracranial hemorrhage and mass effect, aiding radiologists in triaging cases. Additionally, Nines developed NinesMeasure, an AI-powered tool for semi-automatic measurement of lung nodules on adult thoracic CT images, aimed at accelerating diagnoses of certain respiratory diseases.

In February 2022, Sirona Medical acquired Nines’ AI capabilities and technology, including its clinical data pipeline, machine learning engines, AI-powered radiology workflow management and analytics tools, and the two FDA-cleared medical devices (NinesAI Emergent Triage and NinesMeasure). These AI algorithms are now integrated into Sirona Medical’s cloud-native radiology operating system (RadOS), which unifies radiology IT applications such as worklist, viewer, reporter, and AI into a single, streamlined platform. The original premise of NinesAI being a ‘physician directory’ tool is not supported by the available information; its focus was on enhancing diagnostic radiology workflows.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered triage for emergent conditions (intracranial hemorrhage, mass effect)
  • Automated lung nodule measurement and analysis
  • Enhanced radiologist workflow efficiency and prioritization
  • Integration into radiology operating systems (now Sirona's RadOS)
  • Machine learning algorithms for medical image analysis
  • Cloud-native architecture (via Sirona Medical's RadOS)
  • Unified worklist, viewer, and reporting (via Sirona Medical's RadOS)
  • Supports faster diagnosis of critical conditions

Use Cases

  • Prioritizing critical radiology cases for expedited review
  • Expediting diagnosis of life-threatening neurological conditions
  • Quantitative analysis and tracking of pulmonary nodules
  • Improving radiologist efficiency and reducing burnout
  • Integration into teleradiology practices and hospital networks
  • Streamlining radiology IT infrastructure and workflows

What Physicians Need to Know

Stroke Detection (Intracranial Hemorrhage & Mass Effect)
NinesAI automatically analyzes non-contrast head CT images for signs of intracranial hemorrhage and mass effect, which are critical indicators associated with strokes.
Triage Prioritization Speed
The system significantly accelerates the prioritization of critical cases, with radiologists being notified of potential life-threatening findings in approximately 15 seconds after a head CT scan is complete. This is significantly faster than standard time-to-open-dictation.
Brain CT Analysis
NinesAI is specifically designed to analyze head CT images for the suspected presence of intracranial hemorrhage and/or mass effect. It employs AI algorithms trained on radiological images for this purpose.
Mobile Notification System
NinesAI includes notification technology to assist in triage, alerting radiologists to potential emergencies to facilitate timely patient care.
Physician Tip

NinesAI serves as a parallel workflow tool, aiding clinicians in prioritizing radiological reviews of head CTs for emergent conditions like intracranial hemorrhage and mass effect. It's crucial to remember that NinesAI is intended to complement, not replace, full clinical evaluation and diagnosis. The rapid notification system can significantly reduce time to intervention, which is critical for improving patient outcomes in time-sensitive neurological emergencies. Clinicians should integrate these alerts into their existing workflows to expedite review and decision-making, especially in busy practices or teleradiology settings.

Nines' AI capabilities, including NinesAI Emergent Triage, have been acquired by Sirona Medical. These AI models are integrated into Sirona's RadOS (Radiology Operating System), a unified cloud-native platform that combines radiology worklist, viewer, reporting, and AI software. This integration aims to streamline radiologists' workflows and enable truly integrated AI workflows within a cohesive user experience.

Details

Category Neurology AI, Oncology AI, Radiology & Imaging AI
Pricing Contact vendor (sirona medical) Contact Sirona Medical for pricing information.
DeploymentOriginally deployed in Nines' teleradiology practice and for in-house customer use. Now integrated into Sirona Medical's cloud-native RadOS platform.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

NinesAI Emergent Triage received FDA 510(k) clearance on April 21, 2020, for automated radiological review of CT Head images for intracranial hemorrhage and mass effect to aid in triaging cases. NinesMeasure received FDA 510(k) clearance on March 30, 2021, for AI-powered semi-automatic measurement of lung nodules on adult thoracic CT images.

Integrations
EHR Not specified
Specialties Neurology, Oncology, Radiology

Ratings & Reviews

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

Press & Coverage

PR Newswire
Sirona Medical Acquires Nines and Key Personnel
Sirona Medical acquired Nines' AI capabilities, including its clinical data pipeline, machine learning engines, and two FDA-cleared medical devices: NinesMeasure and NinesAI Emergent Triage. Key personnel from Nines also joined Sirona Medical.
2022-02
AuntMinnie
AI market churn continues as Sirona buys AI assets from Nines
Sirona Medical acquired the artificial intelligence (AI) division of Nines, including its NinesMeasure lung nodule analysis algorithm and NinesAI EmergentTriage algorithm, which will be integrated into Sirona's RadOS platform. This acquisition is part of a larger trend of market consolidation in the AI industry.
2022-02
MedCity News
Sirona Medical acquisition of Nines' Radiology's AI division aims to accelerate AI adoption further
Sirona Medical acquired Nines' Radiology AI division, including its clinical data pipeline, machine learning engines, and two FDA-cleared diagnostic products, to integrate these into its RadOS platform and accelerate AI adoption in radiology. The financial terms of the acquisition were not disclosed.
2022-03
Applied Radiology
Sirona Medical Acquires Nines' AI-based Technology
Sirona Medical acquired Nines' AI capabilities and technology, including FDA-cleared medical devices NinesMeasure and NinesAI Emergent Triage, to be integrated into Sirona's radiology operating system (RadOS). This move aims to unify radiology applications and enhance AI adoption.
2022-02
The Imaging Wire
Sirona Medical Acquires Nines AI, Talent
Sirona Medical announced the acquisition of Nines' AI assets and personnel, including FDA-cleared AI models NinesMeasure and NinesAI Emergent Triage, to bolster its integrated RadOS platform and streamline radiologists' workflows. The acquisition reflects the evolving landscape of imaging AI.
2022-02
Sirona Medical
AI-Powered Reporting for Radiologists
Sirona's reporter integrates pixel-powered AI and supports primary interpretation as an FDA Class I device platform, incorporating FDA-cleared AI devices acquired from Nines, specifically NinesMeasure and NinesAI Emergent Triage. The platform is designed to overlay on existing PACS and addresses the upcoming PowerScribe 360 end-of-life.
unknown
Leagle
UNITED STATES DISTRICT COURT DISTRICT OF MASSACHUSETTS NUANCE COMMUNICATIONS, INC
A legal document mentions Sirona's February 2022 acquisition of Nines' AI capabilities, including its clinical data pipeline, machine learning engines, and the FDA-cleared medical devices NinesMeasure and NinesAI Emergent Triage.
2022-07

Videos

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Frequently Asked Questions

NinesAI is designed as a parallel workflow tool that automatically analyzes head CT images as they arrive in the Picture Archive and Communication System (PACS). It helps radiologists by identifying and prioritizing potential emergent findings, specifically intracranial hemorrhage and mass effect, within approximately 15 seconds of scan completion.
Yes, NinesAI received FDA 510(k) clearance in April 2020 for the triage of intracranial hemorrhage and mass effect on head CT scans. While the search results confirm FDA clearance, specific details about its HIPAA compliance and data privacy protocols are not explicitly detailed in the provided snippets, though as a medical device, it would be expected to adhere to relevant healthcare data regulations.
NinesAI is intended as a triage tool to aid radiologists in prioritizing cases, not for diagnostic use beyond notification. It should not be used in place of a full patient evaluation or relied upon to make or confirm a definitive diagnosis.
Initially, NinesAI was made available free to customers, including those overwhelmed by the COVID-19 pandemic. However, Nines, including NinesAI, was acquired by Sirona Medical in February 2022 and its AI capabilities are being integrated into Sirona's unified RadOS platform. This suggests that NinesAI is now likely part of Sirona Medical's broader platform offering rather than a standalone free product.
There are several other FDA-approved AI tools for neuroimaging and brain disorders that offer similar functionalities. Examples include Aidoc Intracranial Hemorrhage (Briefcase), icobrain (Icometrix), Rapid ICH (iSchemaView), NeuroQuant (CorTechs Labs Inc.), and e-ASPECTS (Brainomix Ltd.), all designed to assist in the diagnosis and monitoring of neurological conditions.
NinesAI aims to improve radiologist efficiency and reduce burnout by intelligently prioritizing imaging worklists, allowing radiologists to focus on the sickest patients first. By quickly flagging emergent conditions like intracranial hemorrhage and mass effect, it helps streamline workflows and potentially facilitates faster diagnoses for critical cases.

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