Raiys offers cloud-based image analysis software that helps healthcare providers improve diagnostic accuracy and efficiency. Their platform uses AI to identify anomalies and patterns in medical images, enabling faster and more informed clinical decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Radiology workflows often suffer from fragmented patient data, leading to inefficiencies in examination planning and potential delays in diagnosis. The lack of structured information prior to imaging can result in increased administrative burden, longer wait times, and a less informed basis for AI-driven image analysis.
Solution
Raiys offers a suite of AI-powered radiology software designed to streamline the entire workflow, from patient intake to report generation. The platform integrates digital anamnesis, examination planning, and AI-assisted reporting into a unified system, enabling faster and more accurate diagnoses. By collecting relevant patient data prior to the examination, Raiys ensures that radiologists have a comprehensive understanding of the patient's medical history and risk factors. The software then leverages AI to analyze medical images, identify patterns, and generate structured text proposals for the radiologist's review, ultimately improving efficiency and diagnostic precision.
Target Audience
The primary target audience includes radiologists, radiology technicians (MTRs), and administrative staff in hospitals, private practices, and imaging centers seeking to improve workflow efficiency and diagnostic accuracy.
Features
- OPRA: A patient-facing app for digital anamnesis, enabling patients to securely submit medical history, referral documents, and relevant information prior to their appointment.
- OPRA-Planer: A planning tool that integrates patient data with medical concepts to streamline team coordination and optimize the examination process.
- AI-powered image analysis: Automatically analyzes medical images, identifies patterns, and generates structured text proposals for the radiologist's review.
- Customizable reporting templates: Allows radiologists to validate AI-generated findings and efficiently create consistent, high-quality reports.
- Risk factor identification: Automatically identifies and highlights potential risk factors, such as contrast agent allergies or pre-existing conditions.
- Integration with existing systems: Seamlessly integrates with existing radiology information systems (RIS) and picture archiving and communication systems (PACS).
- Secure data management: Complies with GDPR and other data privacy regulations to ensure the secure and confidential handling of patient information.