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AI Innovation

Both the financial and healthcare industries are undergoing an AI evolution. Review our vision for Artificial Neural Networks (ANN) and deep learning targeting these industries.

AI-Based Check Automation

Check recognition & fraud detection are the most important components in today's check processing and omni-channel capture. Learn how OrboAnywhere using OrbNet AI technology reduces costs and mitigates risk.

AI-Based Healthcare Electronification

OrboAccess, powered by OrbNet AI, provides electronification to remits and payments, enabling RCM companies to automate posting, improve research, and deliver business intelligence

About Us

Celebrating 25 years of innovation, OrboGraph has transformed into an AI company delivering targeted automation solutions to the banking and healthcare industries.

Resources

From news and events to case studies, trends, and videos, this section provides a range of information resources for payment automation in the banking and healthcare industries.

Blogs

OrboGraph produces four blog series on a weekly basis covering topics from check processing, fraud prevention, AI technologies, RCM, and healthcare electronification. Select one the blog to the right. We hope you enjoy!

Getty Images/iStockphoto/Thinkstock Images/Oliver Sved

In news that is encouraging to millions of individuals and families affected by Alzheimer’s disease, Scientific American reportson researchers from the VU University Medical Center in Amsterdam who suggest AI and Machine Learning — already making waves in other industries — could eventually allow automated screening and assisted diagnosis of various forms of dementia, particularly in medical centers that lack experienced neuroradiologists.

By applying artificial intelligence algorithms to MRI brain scans, researchers have developed a way to automatically distinguish between patients with Alzheimer’s and two early forms of dementia that can be precursors to the memory-robbing disease.

The researchers, from the VU University Medical Center in Amsterdam, suggest the approach could eventually allow automated screening and assisted diagnosis of various forms of dementia, particularly in centers that lack experienced neuroradiologists.

Additionally, the results, published online July 6 in the journal Radiology, show that the new system was able to classify the form of dementia that patients were suffering from, using previously unseen scans, with up to 90 percent accuracy.

So, while there is no cure for Alzheimer’s (yet), deploying Machine Learning and the models it creates will help more and more medical facilities identify persons at risk early enough to introduce treatments as they become available before actual symptoms take hold. This also makes possible non-invasive testing utilizing application of the model data.

AI and machine learning models can be utilized for applications all across healthcare, not just for electronifying paper remittances. What’s next?


This blog contains forward-looking statements. For more information, click here.

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