Our Technology

The EonDirect platform uses proprietary A.I. and machine learning to optimize diagnosis and treatment efficiency. It’s expertly engineered to be easy to use and minimize training time to get you up and running and reduce busy work for your staff.
By leveraging the most advanced technologies available, Eon delivers the smartest solutions for streamlining data, analytics and complex patient management, making it easy for caregivers like you to work at the top of your license.


People don’t hate healthcare technology.
They hate bad healthcare technology.

And the reason is simple: sub-standard software leads to increased costs. We use best-in-class machine automation to save time, reduce busy work and get the most out of your staff. Our software can help you batch letters, create automatic follow-up for low-risk patients, and triage high-risk patients to high-risk buckets. Plus, our solution helps track patients through the complete care continuum, preventing leakage and keeping patients from slipping through the cracks. As a result, our machine automation has reduced the time spent per patient from one to three hours to only five to ten minutes.


You shouldn’t have to settle for workflow-oblivious databases with lousy interfaces.

Our SmartFlow software speeds up the data entry process without any change to radiologic workflow. The software allows you to analyze data throughout the entire patient management lifecycle – creating a more seamless and more efficient experience than ever before.


You can’t solve today’s problems using 1990’s technology.

Instead of using outdated commoditized technology that disrupst radiology workflow, like Computer Aided Detection (CAD) and Natural Language Processing (NLP), Eon uses a multiple phased approach. By leveraging modern technology like best-in-class cognitive learning, risk stratification, and non-disruptive scouting techniques it achieves up to 98% accuracy, reducing the number of false positives while increasing patient retention.


Detection in a class of its own.

Nodule segementation and identification software is not enough. The Eon Cancer Classifier uses intelligent automation and radiomics along with AI segmentation to better predict lung cancer probabilities. By extracting a larger amount of data from lung scan images and combining it with other available patient characteristics, it provides true computer vision for answering whether a nodule is benign or malignant.