Oxipit
Oxipit is a leader in AI-powered radiology solutions, dedicated to transforming medical imaging workflows worldwide. With innovative tools like autonomous reporting and advanced detection for multiple pathologies, Oxipit aims to improve diagnostic accuracy, reduce radiologist workload, and enhance patient care through certified AI solutions. The company has a strong focus on regulatory compliance, global deployment, and advancing radiology AI technology.
Industries
Nr. of Employees
small (1-50)
Products
Autonomous chest X‑ray reporting application
Clinical AI application that produces final reports for chest X‑rays deemed normal by the algorithm, intended to reduce routine reporting load and redirect radiologist capacity to complex cases; reported CE‑classified regulatory approval for autonomous use in applicable markets.
Chest X‑ray diagnostic and reporting platform
Platform that analyzes chest radiographs to generate preliminary diagnostic reports, localized heatmaps, image similarity search, triage flags and analytics; supports a predefined set of common findings to assist reporting workflows.
CT imaging AI suite (detection and triage)
AI suite for computed tomography that provides automated detection and triage for findings such as pulmonary embolism, intracranial haemorrhage, large vessel occlusion, liver lesions and other prioritized CT findings.
Musculoskeletal X‑ray AI suite
AI tools for musculoskeletal radiography to detect fractures, degenerative changes, prostheses and other MSK findings, combined with triage and quality assurance features.
AI quality‑assurance (second‑reader) application
Always‑on secondary‑reading application that reviews reports and images in near‑real‑time to detect discrepancies and alert clinicians to potentially overlooked findings.
Autonomous chest X‑ray reporting application
Clinical AI application that produces final reports for chest X‑rays deemed normal by the algorithm, intended to reduce routine reporting load and redirect radiologist capacity to complex cases; reported CE‑classified regulatory approval for autonomous use in applicable markets.
Chest X‑ray diagnostic and reporting platform
Platform that analyzes chest radiographs to generate preliminary diagnostic reports, localized heatmaps, image similarity search, triage flags and analytics; supports a predefined set of common findings to assist reporting workflows.
CT imaging AI suite (detection and triage)
AI suite for computed tomography that provides automated detection and triage for findings such as pulmonary embolism, intracranial haemorrhage, large vessel occlusion, liver lesions and other prioritized CT findings.
Musculoskeletal X‑ray AI suite
AI tools for musculoskeletal radiography to detect fractures, degenerative changes, prostheses and other MSK findings, combined with triage and quality assurance features.
AI quality‑assurance (second‑reader) application
Always‑on secondary‑reading application that reviews reports and images in near‑real‑time to detect discrepancies and alert clinicians to potentially overlooked findings.
Services
Deployment and integration services
Project management and technical integration of AI imaging solutions into hospital IT (PACS/RIS), including on‑site or cloud deployment planning, system configuration, and go‑live support.
Clinical validation and pilot support
Support for pilot projects and clinical evaluations including retrospective analyses, performance reporting, and collaboration on case studies to validate algorithm performance in local workflows.
Operational training and support
Provision of user training sessions, technical documentation, and ongoing client support to ensure adoption and effective use of AI outputs within radiology workflows.
Deployment and integration services
Project management and technical integration of AI imaging solutions into hospital IT (PACS/RIS), including on‑site or cloud deployment planning, system configuration, and go‑live support.
Clinical validation and pilot support
Support for pilot projects and clinical evaluations including retrospective analyses, performance reporting, and collaboration on case studies to validate algorithm performance in local workflows.
Operational training and support
Provision of user training sessions, technical documentation, and ongoing client support to ensure adoption and effective use of AI outputs within radiology workflows.
Expertise Areas
- Autonomous radiology reporting
- Medical image analysis (chest X‑ray, CT, musculoskeletal X‑ray)
- Clinical validation and retrospective trial execution
- PACS/RIS interoperability and healthcare IT integration
Key Technologies
- Deep learning for medical imaging
- Computer vision for radiography and CT
- DICOM and HL7 interoperability
- On‑premises and cloud deployment architectures