DeepHealth (formerly Kheiron Medical Technologies)
Overview
DeepHealth, formerly Kheiron Medical Technologies, is an AI-powered health informatics company that develops solutions for diagnostic imaging. It is a wholly-owned subsidiary of RadNet, Inc.
DeepHealth’s portfolio includes AI-powered solutions across several specialties, including breast, prostate, chest, neuro, and thyroid health. These solutions are designed for radiologists and other healthcare professionals in various care settings, particularly those involved in large-scale diagnostic and screening programs.
The company’s offerings, such as the SmartMammo™ Breast Suite, integrate into existing diagnostic workflows, aiming to enhance diagnostic accuracy and workflow efficiency. For example, the Breast Suite includes AI-powered cancer detection, automated density assessment, and risk assessment, with capabilities to incorporate prior exams for comparison. DeepHealth also offers enterprise imaging solutions like the Diagnostic Suite™, which provides PACS functionality and advanced image management, and the Operations Suite™, which includes RIS functionality and real-time workflow management.
Notable capabilities include AI-assisted nodule detection in chest CT scans and the identification of breast arterial calcifications (BACs) on mammograms. DeepHealth’s cloud-native operating system, DeepHealth OS, aims to unify data across clinical and operational workflows and provide personalized AI-powered experiences.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered breast cancer detection
- Supports radiologists in decision-making
- Functions as independent reader
- Functions as concurrent reader
- Triage tool for breast screening
- Enhanced workflow efficiency
- Improved diagnostic accuracy
- Seamless integration into existing workflows
Use Cases
- Breast cancer screening programs
- Radiologist support in mammography interpretation
- Optimizing diagnostic workflows
- Large-scale diagnostic and screening programs
What Physicians Need to Know
Utilize MIA as a 'second reader' to enhance confidence and potentially reduce recall rates. Pay close attention to areas flagged by MIA, especially in dense breast tissue. Integrate MIA's insights into your overall assessment, combining AI findings with patient history and other imaging modalities for a comprehensive diagnosis.
MIA is designed to integrate with standard PACS and reporting systems used in radiology departments, ensuring a smooth transition into existing clinical workflows without requiring significant changes to infrastructure.
Details
| Category | Clinical Decision Support & Reference, Population Health Analytics, Radiology & Imaging AI |
| Pricing | Unknown — unknown |
| Deployment | Cloud-native (DeepHealth OS), AWS Marketplace, on-premise (interoperable with legacy PACS). |
| API Available | Unknown |
| Training | Unknown |
| Target Size | Thousands of imaging centers and radiology departments around the world, large-scale diagnostic and screening programs. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
1 AI-estimated DeepHealth has received FDA 510(k) clearance for its Prostate AI solution (part of Prostate Suite), Brain Health and Brain Age solutions (part of Neuro Suite), and TechLive™ remote scanning solution. |
| GDPR | Unknown AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Oncology, Radiology, Women's Health |
Social Proof
| Customers | Over 2,890 customers worldwide. |
| Notable | RadNet (parent companydeploying across 400+ imaging centers)ONRAD (manages over 1.4 million exams annually and provides services to over 120 customer facilities in the U.S.). |
Support & Reliability
| Training Provided | Unknown |
What the Web Says
DeepHealth, formerly Kheiron Medical Technologies, develops AI-powered software to enhance the accuracy and efficiency of medical diagnostics, primarily focusing on breast cancer screening with its Miau00ae platform. The company has expanded its offerings to include solutions for prostate, chest, neuro, and thyroid health. DeepHealth aims to address the growing demand for radiology services and radiologist shortages by integrating AI into clinical workflows.
Overall: PositiveStrengths
- Increased breast cancer detection rates (up to 12-13% more cancers detected).
- Reduced radiologist workload (up to 30-44.8% in some scenarios).
- Earlier detection of high-grade and invasive cancers, leading to better patient outcomes and survival rates.
- Decreased unnecessary recalls for further assessment.
- Reduced time to notify patients of results (from 14 days to 3 days).
- Improved diagnostic consistency and accuracy across different mammography equipment vendors and radiologists.
Limitations
- Concerns about AI's generalization across heterogeneous deployment environments and diverse population groups.
- Potential for increased arbitration rates in AI-assisted workflows.
- One review mentioned that the machine learning element of Mia was disabled due to UK health regulation, preventing it from learning on the job.
- Some employee reviews (for RadNet/DeepHealth) mention issues with compensation/benefits, being overworked, and toxic micromanagement, though these are not specific to the Mia product.
- Acquisition price of Kheiron Medical by RadNet/DeepHealth was surprisingly low ($1 million USD), suggesting potential financial struggles or challenges in commercialization despite strong technology.
- The work wasn't quite what an intern was most interested or competent at - had done very little with Python or cloud computing before.
Based on reviews from: Handshake, Indeed.com, Healthcare Digital, DeepHealth (RadNet), Digital Health in Europe, YouTube (Kheiron Medical Technologies), ESR Connect, RadNet, Applied Radiology, Tracxn, MedicalExpo, Google Cloud (YouTube), Reddit, Pulse+IT News, Femtech Insider, MedTech Innovator, PMC (PubMed Central), Imperial News, Medium
Last updated: 2026-06-22
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