neuro42
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About
neuro42 is a medical technology company that has developed a specialized portable magnetic resonance imaging (MRI) platform designed specifically for the neurological care landscape. Unlike traditional high-field MRI scanners that are stationary and require massive facility shielding, this system is a low-field, mobile unit that can be brought directly to the patient's bedside or into a surgical suite. By integrating artificial intelligence and robotics into a single platform, the tool aims to make neuroimaging more accessible, less disruptive, and more functional for real-time clinical decision-making. The platform operates on an FDA 510(k) cleared system that combines high-resolution imaging with automated tools for enhanced diagnostic accuracy. It utilizes AI to assist in image acquisition and provides robotic guidance for minimally invasive neurosurgical procedures, such as tumor resections, biopsies, and Deep Brain Stimulation (DBS). The system's portable footprint allows it to be used in diverse environments, including intensive care units (ICUs), emergency rooms, and surgical centers. This mobility eliminates the physical risks and time delays associated with transporting unstable patients to a separate radiology department, facilitating immediate monitoring and rapid intervention. The tool is primarily designed for neurosurgeons, radiologists, and critical care specialists working in comprehensive stroke centers, hospitals, and outpatient clinics. It is particularly beneficial for managing patients who are too unstable for transport or those requiring intraoperative imaging to confirm successful surgical outcomes. Additionally, the technology is suited for healthcare facilities looking to expand their imaging capabilities without the heavy infrastructure costs of traditional MRI rooms, offering a more flexible "concierge" model of neuro-focused care. What makes neuro42 unique is the synergy of low-field MRI with integrated robotics and AI in a single, mobile unit. While other portable imaging solutions exist, this platform emphasizes interventional guidance, allowing physicians to perform complex procedures with greater precision. Supported by over 40 patents and a growing database of successful scans, the platform transitions MRI from a purely diagnostic tool to a real-time interventional partner, significantly reducing the barrier to advanced neurological care for both patients and providers.
Pros & Cons
FDA 510(k) cleared and backed by over 40 patents for proven safety and innovation.
Enables real-time imaging during neurosurgical procedures like biopsies and tumor resections.
Eliminates the high-risk transport of unstable ICU patients to a traditional radiology suite.
Operates at the point-of-care without the need for traditional MRI infrastructure and shielding.
Integrated robotics and AI streamline both the diagnostic and interventional surgical workflows.
Uses low-field MRI technology which typically offers different resolution characteristics than standard high-field 3T units.
Pricing and licensing costs are not publicly disclosed and require a consultation with the sales team.
Currently optimized primarily for neurological applications rather than whole-body imaging needs.
Use Cases
Neurosurgeons can use the platform to confirm tumor resections and stereotactic biopsies mid-procedure without moving the patient from the operating table.
Critical care teams can perform rapid brain scans for unstable patients in the ICU, reducing the danger of transport to radiology.
Outpatient clinics can provide advanced neurological imaging services at point-of-care without building out expensive, shielded MRI rooms.
Platform
Features
• fda 510(k) cleared
• real-time scan results
• minimally invasive procedure support
• low-field mri technology
• point-of-care delivery
• robotic interventional guidance
• ai-driven imaging software
• portable mri scanner
FAQs
Is the neuro42 platform FDA cleared?
Yes, the neuro42 MRI platform is FDA 510(k) cleared. This clearance ensures the technology meets the safety and effectiveness standards required for clinical neurological imaging and interventions.
What kind of procedures can the platform support?
The platform is designed to assist in confirming tumor resections and supporting stereotactic interventions. These include biopsies, laser treatments, and Deep Brain Stimulation (DBS) with real-time imaging guidance.
Where can the neuro42 system be used within a hospital?
Due to its portability and low-field technology, the system can be deployed in ICUs, emergency rooms, surgical suites, and outpatient clinics. It does not require the heavy shielding of traditional MRI rooms.
How does AI and robotics improve the imaging process?
The integrated AI assists in image analysis and acquisition, while the robotic component provides precision guidance for minimally invasive procedures. Together, they reduce human error and improve procedural accuracy.
Pricing Plans
Custom Pricing
Unknown Price• FDA 510(k) cleared mobile MRI system
• Integrated AI imaging platform
• Robotic interventional guidance
• Point-of-care portability
• Support for stereotactic interventions
• Real-time diagnostic reporting
• On-site installation and training
Job Opportunities
Software Engineer
Deliver rapid neurological imaging at the point-of-care with an FDA-cleared portable MRI platform featuring integrated AI and robotic guidance for interventions.
Benefits:
competitive salary
medical benefits
opportunity to work on the most innovative technology
Education Requirements:
Bachelor’s in Computer Science or related fields
Advanced degree preferred
Experience Requirements:
1-3 years of demonstrable experience programming in Qt and Python
Expertise developing responsive layouts with CSS and HTML
Other Requirements:
Detail oriented with a positive attitude
Willingness to share and learn from others
Familiarity with React, Node.js, REST API / services
Familiar with integration and virtualization tools (Docker, Kubernetes)
Familiar with source control and cloud services (AWS / GCP)
Responsibilities:
Develop new user interface used to view medical images
Build well designed and effective applications that support complex workflows
Develop infrastructure for transmission of sensitive clinical data on the cloud
Support engineering by developing automation and test tools
Follow and build upon software engineering best practices for code management and testing
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Algorithms Engineer
Deliver rapid neurological imaging at the point-of-care with an FDA-cleared portable MRI platform featuring integrated AI and robotic guidance for interventions.
Benefits:
competitive salary
medical benefits
opportunity to work on the most innovative technology
Education Requirements:
MS or PhD in electrical engineering, applied physics, math, aerospace, statistics, or computer science
Experience Requirements:
Demonstrated industry or research experience (2-4 years) in signal or image processing, computer vision, or machine learning
Proficient in Python and supporting tools for scientific computing
Other Requirements:
Solid background in math, signal processing, and linear algebra
Prior experience with medical imaging processing and analysis in a scientific setting
Prior experience with signal processing and/or MR imaging physics
Familiarity with reconstruction methods for MRI or CT is a plus
Eager to share and learn from a multidisciplinary team
Responsibilities:
Build algorithms for our new compact office-based MRI system
Own imaging and software projects related to signal processing, signal analysis, and linear algebra
Collaborate with a diverse team of software, system, and RF engineers in building a robust system
Producing high quality clinical images while minimizing scan time
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Quality & Regulatory Engineer
Deliver rapid neurological imaging at the point-of-care with an FDA-cleared portable MRI platform featuring integrated AI and robotic guidance for interventions.
Benefits:
competitive salary
medical benefits
opportunity to work on the most innovative technology
Education Requirements:
Bachelor’s degree in Engineering or a related field
Advanced degree preferred
Experience Requirements:
Technical knowledge and applicability of FDA regulations and ISO standards
Prior experience with medical imaging devices
Other Requirements:
Creative and resourceful
Excellent writing and presentation skills
Excellent planning & organizational skills
Exhibit quality of leadership
Skilled in data analysis and reporting
Responsibilities:
Create and manage a quality management system (QMS)
Document, review, and maintain quality records
Perform periodic internal quality audits and analyze quality metrics to suggest improvements
Initiate necessary actions when anomalies are identified
Be the lead during external audits
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