NinesAI
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
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. |
| Deployment | Originally deployed in Nines' teleradiology practice and for in-house customer use. Now integrated into Sirona Medical's cloud-native RadOS platform. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown 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 |
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