11/26/24 RadUnity was 510(k) Class II medical device cleared
Data normalization/customization engine for medical imaging workflows
A platform that presents harmonized images from diverse CT data tailored for any radiologist, researcher, or AI tool.
11/26/24 RadUnity was 510(k) Class II medical device cleared
A platform that presents harmonized images from diverse CT data tailored for any radiologist, researcher, or AI tool.
Clinicians around the world rely on Computed Tomography (CT) to provide diagnostic and pre/post-surgical data. Radiologists interpret CT images to provide this information. The majority of CT scanners, however, are set up to provide different information for the same type of exam. This can negatively impact patient care. This inconsistency is common in medical imaging for several reasons: (1) CT vendors often prioritize producing visually appealing images over uniformity, leading to the inclusion of vendor-specific reconstruction options, (2) radiologists often prefer their own unique "look and feel" for the images they interpret, and (3) many sites do not have the expertise or resources to manage their imaging protocols.
When CT images are reconstructed differently from scan to scan, it can be difficult for radiologists to determine if changes in a patient's disease or healing process are real or simply the result of a different CT scanner or reconstruction method being used.
"I've had to play guessing games every time I open something from a referring center."
-Former NIH and current cancer center radiologist
When CT images are reconstructed in different ways, radiologists must first decipher the type of image they are looking at before they can interpret the clinical data contained within the image.
Instead of practicing medicine, radiologists waste valuable time sorting through images.
"[RadUnity's solution] would be a huge time savings but i
When CT images are reconstructed in different ways, radiologists must first decipher the type of image they are looking at before they can interpret the clinical data contained within the image.
Instead of practicing medicine, radiologists waste valuable time sorting through images.
"[RadUnity's solution] would be a huge time savings but it would also be a huge emotional or brain real estate savings, just because of the burnout caused by thinking, ‘Oh man, I got to hang this every single time’"
-Fellowship trained academic radiologist
AI vendors that assist radiologists in interpreting images are also impacted by this inconsistency, as they must expend energy building processes capable of ingesting a large variety of non-standardized medical images.
"Comparing images never works, because if you get something from somewhere else, or even if it's from your same hospital
AI vendors that assist radiologists in interpreting images are also impacted by this inconsistency, as they must expend energy building processes capable of ingesting a large variety of non-standardized medical images.
"Comparing images never works, because if you get something from somewhere else, or even if it's from your same hospital system, it is not going to hang up properly."
-Academic radiologist
RadUnity addresses the problem of inconsistency in medical imaging by centralizing the management of image creation before radiologists or AI solutions interpret or process the images. RadUnity's software-as-a-service (SaaS) platform controls the creation of images, ensuring that physicians have a consistent "look and feel" for imaging data for a single patient over time and from patient to patient. It is estimated that this approach can reduce the amount of time radiologists spend "hanging" a study by four times. RadUnity's solution can reduce the implementation time for AI CADe/CADx from ~4 months to overnight and eliminate AI processing errors in studies that are due to non-compatible in image reconstruction.
RadUnity's solution allows radiologists or AI vendors to customize images, including the type (e.g., axial, sagittal, coronal), slice thickness, series name, and resolution (e.g., lung, soft tissue, bone). RadUnity's solution does not require image reconstruction from raw CT projection data. This customization can be specified to unique indications or AI applications. Additionally, because RadUnity's solution is managed independently of individual modality units, changes to reconstruction settings can be implemented instantly across an entire imaging center or hospital network. For more technical information, please see the "System for Harmonizing Medical Imaging Presentation" USTPO Patent 10964074 or contact tim@RadUnity.com to request a demo of our prototype.
Please see RadUnity's Informational Brochure for more information.
After building and implementing tools for Computed Tomography (CT), RadUnity will develop harmonization methods for Magnetic Resonounce Imaging (MRI). CT and MRI are the most costly and highest-volume types of medical imaging. From these modalities, RadUnity has a vision to become a standard building block of any practice's medical imaging informatics system, providing a platform of harmonization services to satisfy the needs of radiologists and the AI vendors that assist them.
Founded by Tim Szczykutowicz Ph.D. in 2023, RadUnity Corp. [1] is a start-up with a mission: a mission to solve the headache that is non-uniformity in medical imaging.
RadUnity's solution is unique [2] and patent- protected by the Wisconsin Alumni Research Foundation (WARF). RadUnity was a client of the UW Madison Law and Entrepreneur Clinic, and went through the WARF Varsity Venture Studio process.
[1] Delaware C Corporation, based in Madison Wisconsin.
[2] System for Harmonizing Medical Imaging Presentation. USTPO Patent 10964074
All descriptions and examples of solutions and technologies presented on this website represent technology in development and ongoing research efforts. RadUnity Corp. does not currently offer a product and the solutions and technologies presented here may never become products. No solutions or technologies described on this website are approved or cleared by any regulatory body in the United States of America or globally.
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