Allow the Claris V to Speak when Your Companion Animal Cannot.
The Power of AI Analysis at work.
Volumetric Cubic Protocol Reconstruction
High-Resolution Claris V
generates increased data per image.
Next-Generation 3D CT/X-Ray Scanner.
In Veterinary Diagnostic Imaging: Cubic data surpasses a single image by offering a three-dimensional (3D) representation of the studied tissue or organ. This differs from traditional two-dimensional (2D) imaging methods that yield a single, flat image of the tissue. The cubic data, acquired through the Claris V 3DCT Instrument will transform how you diagnose.
Quantitative Imaging Analysis: The CUBIC protocol enables simple and efficient organ clearing, rapid imaging by light-sheet microscopy, and quantitative imaging analysis of multiple samples.
The enhancement of Quantitative Imaging Analysis will be greatly facilitated by our perspective on AI.
Automating analysis: AI-enabled veterinary imaging tools can help automate the analysis of images, reducing the overall manual workload for veterinary professionals and decreasing analysis time.
Improving patient outcomes: AI technology in veterinary medicine imaging can lead to more timely diagnoses and more precise medical interventions, ultimately improving animal patient outcomes.
​
Identifying complex patterns: AI-powered veterinary medicine imaging can analyze data points in a veterinary report to distinguish diseases and identify complex patterns in imaging data.
​
Enhancing quantitative imaging: AI can be implemented in several stages of the veterinary medicine imaging workflow, including data acquisition, processing, and analysis, leading to more accurate quantification of imaging data.
Radiomics: The radiomics approach enables the extraction of large numbers of features from veterinary images using data-characterization techniques, which can be further analyzed using AI algorithms to provide additional insights into the tissue or organ being studied.
Multimodality imaging: Quantitative multimodality imaging, which enables simultaneous quantification of multiple imaging modalities in veterinary care, holds enormous potential to provide veterinarians with valuable information for making informed decisions.
Collaboration As the field of AI in veterinary medicine imaging continues to progress, fostering collaboration between researchers, veterinarians, and data scientists will be essential to harness the full potential of AI and quantitative imaging to benefit animal patients.
Large-scale Data Scanning Ecosystem
AI will usher in a new era of
Quantitative Veterinary Medicine
Imaging Analysis (QVMIA).
Automating Processes • Enhancing Patient Outcomes
Discerning Intricate Patterns • Improving Quantitative Imaging • Utilizing Radiomics
Fostering Collaboration with experts within the Imaging Chain.