Oxipit AI

Overview

Oxipit AI is a medical imaging company that develops autonomous artificial intelligence solutions for radiology. The company’s flagship product, ChestLink, is the world’s first AI system capable of fully automating the reading of normal chest X-rays (CXRs). Designed to reduce radiologist workload and alleviate burnout, Oxipit’s solution is CE-marked under the EU Medical Device Regulation (MDR), ensuring compliance with rigorous safety and performance standards. The technology is deployed in clinical settings across Europe and is being used to automatically generate preliminary reports for non-pathological examinations, allowing radiologists to focus on more complex cases.

Key Features

• Autonomous Reporting: Oxipit’s ChestLink can autonomously identify and report normal chest X-rays without radiologist intervention, a first in the field.
• CE-Marked under MDR: The product holds CE certification under the new Medical Device Regulation, indicating compliance with high safety and performance requirements.
• Seamless Integration: Oxipit’s AI integrates with existing PACS and RIS systems using standard DICOM and HL7 protocols, minimizing workflow disruption.
• Radiologist Workflow Dashboard: A user-friendly interface provides radiologists with AI findings, confidence scores, and workflow prioritization tools.
• Continuous Learning: The platform is updated with new models and improvements over time (with regulatory oversight for clinical versions).
• Scalable Deployment: Can be deployed on-premises or via cloud, supporting hospitals of various sizes.

Use Cases

Reduced Radiologist Workload

Hospitals facing a high volume of normal chest X-rays can use Oxipit’s ChestLink to automatically screen and report these cases, dramatically cutting down the time radiologists spend on routine reads and allowing them to focus on complex pathologies.

Emergency Radiology Triage

In emergency departments, Oxipit can prioritize abnormal findings or flag urgent cases, helping radiologists quickly identify life-threatening conditions such as pneumothorax or pulmonary edema.

Remote and Teleradiology Services

Teleradiology providers can leverage Oxipit’s autonomous AI to handle normal caseloads automatically, increasing throughput without adding hiring burden, and maintaining consistent quality across remote sites.

Clinical Research and Auditing

Radiology departments can use Oxipit’s analytics dashboard to audit reporting patterns, measure turnaround times, and conduct research with anonymized data aggregated from the AI system.

Pricing & Plans

Oxipit does not publicly disclose detailed pricing on its website. The company offers a free pilot program for eligible institutions, allowing them to test the technology in a real clinical environment. Enterprise pricing is customized based on volume, deployment type (on-premises or cloud), and additional support requirements. Interested organizations must contact the sales team for a quote.

Integrations & Compatibility

• PACS: Integrates with major PACS vendors (e.g., Philips, GE, Siemens) via DICOM.
• RIS: Connects with radiology information systems through HL7.
• Operating Systems: Supports Windows and Linux servers for on-premises deployment.
• Cloud Providers: Compatible with AWS, Azure, and Google Cloud for cloud-based setups.
• API: Provides RESTful APIs for custom integration with hospital information systems.

Who Is It For?

• Radiologists: To reduce burnout and improve productivity by automating routine readings.
• Hospital Administrators: To increase throughput and reduce cost of radiologist services.
• Teleradiology Firms: To scale operations without proportional hiring.
• Healthcare CIOs/IT Teams: To implement CE-marked AI that meets regulatory requirements.
• Clinical Researchers: To access aggregated, anonymized data for studies.

Limitations

• Limited to Chest X-rays: Currently, only chest X-ray (CXR) autonomous reporting is available; the product does not cover other imaging modalities like CT, MRI, or ultrasound.
• Requires Significant Data Volume: The autonomous workflow is most beneficial for sites with a high volume of normal CXR cases; low-volume sites may not see substantial efficiency gains.
• Regulatory Constraints: Deployment outside the EU or regions that accept CE marking may require additional local certifications, slowing expansion into new markets.
• Dependence on Integration Support: Seamless integration with existing hospital IT infrastructure requires technical support from Oxipit, which may involve a setup fee or professional services.

Final Verdict

Oxipit AI stands as a pioneering solution in the medical imaging AI space with its fully autonomous chest X-ray reporting system. The CE marking under MDR provides a strong regulatory foundation, and the potential for significant workload reduction in radiology departments is well-documented. While its scope is currently limited to CXRs, the technology offers a clear benefit for high-volume clinical environments. Organizations considering adoption should evaluate their case mix and IT readiness, but for those with heavy normal CXR loads, Oxipit represents a compelling investment in workflow efficiency and radiologist well-being.