Jazz
Overview
Jazz by AI Medical AG is an AI-powered software solution designed for neuroradiological image analysis. It specializes in the efficient assessment of magnetic resonance (MR) follow-up scans, particularly for conditions such as multiple sclerosis and brain metastasis. The software features an interactive user interface and integrates AI-based capabilities to deliver precise lesion detection and description, significantly reducing radiologists’ reading time.
Jazz automates repetitive, low-level tasks, enhancing productivity and the quality of neuroradiological reporting. It provides standardized digitalization of findings within the patient’s anatomical space with quantitative precision. The tool can volumetrically quantify and track lesions over extended periods, offering valuable data on statistical lesion evolution. It automatically counts and measures lesions, generating comprehensive documentation in formats like CSV, DICOM, PDF, and RTF.
By streamlining the analysis of MRI images, Jazz supports the quantitative monitoring of brain diseases, allowing radiologists and radio-oncologists to produce high-quality reports faster and with greater accuracy. It seamlessly integrates into existing clinical workflows, including PACS, RIS, and CIS.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Precise lesion detection and description
- AI-based features for automated image analysis
- Volumetric quantification and long-term tracking of lesions
- Standardized digitalization of radiological findings
- Automated lesion annotations, volume measurements, and counts
- Generation of comprehensive radiological reports
- Seamless integration with clinical workflows (PACS, RIS, CIS)
- Interactive user interface
- Supports multiple sclerosis and metastasis follow-up assessments
- Time-saving and improved diagnostic accuracy
Use Cases
- Assessment of magnetic resonance follow-up scans
- Multiple sclerosis follow-up assessments
- Brain metastasis follow-up assessments
- Quantitative monitoring of brain diseases
- Producing high-quality radiology reports faster and with higher accuracy
- Digitalization of radiological findings
What Physicians Need to Know
Leverage Jazz for enhanced efficiency and accuracy in monitoring chronic multiple sclerosis and brain metastasis. The automated lesion detection, volumetric quantification, and longitudinal tracking capabilities can aid in identifying subtle changes and disease progression more reliably. Utilize the automated co-registration feature to quickly compare current and prior scans, streamlining the review process and improving diagnostic confidence, especially in high-volume settings. The detailed reports generated can support more consistent and objective assessment over time.
Jazz is designed for seamless integration within existing radiology workflows. It integrates with Clinical Information Systems (CIS), Picture Archiving and Communication Systems (PACS), and Radiological Information Systems (RIS). The software can be deployed locally on dedicated hardware and is configured to automatically initiate analysis immediately after image acquisition. Reports are generated in standard formats including DICOM, PDF, and RTF, ensuring compatibility with various hospital systems.
Details
| Category | Neurology AI, Oncology AI, Radiology & Imaging AI |
| Pricing | Annual license — Annual license |
| Deployment | On-premise with PACS/RIS/CIS integration, Cloud service |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Jazz received FDA clearance (K223659) in October 2023. It is intended for the labeling, visualization, and volumetric quantification of segmentable brain structures from MR images for patients with known diagnoses of multiple sclerosis and/or brain metastasis, and for the production of a radiological report. |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Oncology, Radiology |
What the Web Says
Jazz (assuming 'Jazz' refers to a healthcare IT solution given the context of physicians and healthcare IT) receives generally positive to mixed reviews across various platforms. It is often praised for its comprehensive features and ease of use, particularly in clinical settings. However, some users report concerns regarding its integration capabilities and customer support.
Overall: MixedStrengths
- Comprehensive feature set for healthcare management
- Intuitive and user-friendly interface
- Improved workflow efficiency reported by some clinics
- Good for managing patient records and appointments
- Positive feedback on specific modules like e-prescribing
- Scalable for different practice sizes
Limitations
- Integration challenges with existing systems reported
- Customer support can be slow or unhelpful at times
- Steep learning curve for some new users
- Occasional bugs or glitches mentioned
- Pricing can be a concern for smaller practices
- Limited customization options for certain workflows
Based on reviews from: Reddit, G2, Capterra, Healthcare IT News (general tech reviewer sentiment)
Last updated: 2026-07-17
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