Monitor AI-based medical imaging

RATify offers a comprehensive set of features and capabilities for retrospective and prospective AI research, post market surveillance, validation and monitoring.

It goes beyond traditional CRM tools by supporting both pre-regulation validation and post-regulation monitoring of AI CAD tools in medical imaging, ensuring compliance and ongoing effectiveness.

Furthermore, RATify aims to serve as a valuable resource for research institutions, aiding broader research initiatives. Its versatility makes it suitable for a wide range of healthcare needs, from public healthcare to private providers such as teleradiology services.

Supports a wide range of imaging modalities, including 2D and 3D radiology, pathology, ophthalmology, cardiology and others.
Allows for both retrospective and prospective studies with integration to 3rd party AI solutions, and other clinical imaging systems for a streamlined and efficient process.
RATify Labeller, provides a familiar and user-friendly experience to medical/ clinical staff during the image ground truthing process. It provides segmentation, classification and measurement tools for a comprehensive annotation of pathologies and medical conditions.
Image/ study metadata, such as demographics, image and equipment, geographical and other details are fully supported by RATify, and can be used to create and manage a series of groups for a detailed subgroup analysis of annotated data and AI performance metrics.
Offers a post-market surveillance capability for prospective studies, offering a comprehensive auditing tool that allows authorised medical/ clinical staff to provide detailed feedback on AI performance.
Provides an eco-system for training new AI models, based on available image datasets, followed by evaluation, fine-tuning, clinical trials and completing the cycle with post-market surveillance, continuous monitoring and reinforcement learning.

RATify aims to:

Simplify Decision Making by helping users decide which AI tools to implement by providing comprehensive and standardised evaluations.
Enhance Safety and Consistency by ensuring that AI tools perform safely and consistently in clinical settings.
Enable real-time performance monitoring by continuously collecting user feedback on AI performance to ensure ongoing effectiveness.
Support comprehensive scientific evidence collection by facilitating the gathering of robust metrics and documentation.
Deliver data-driven insights through detailed performance metrics, subgroup analyses, and inter-reader variability measurements.
Accelerate trial processes by helping clinical trials reach completion faster and at reduced cost compared to traditional methods.
Support versatile application across imaging modalities including 2D and 3D radiology, pathology, ophthalmology, cardiology, and more.
Provide detailed metadata support for organizing and analyzing data such as demographics, imaging parameters, and unstructured reports.
Offer a comprehensive PMS (post-market surveillance) tool to enable clinical staff to audit and provide detailed feedback on AI performance.
Ensure continuous monitoring to support compliance and effectiveness of deployed AI systems over time.
Facilitate new model training and evaluation by supporting the full AI lifecycle - from data preparation to clinical validation and reinforcement learning.

RATify

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