Please note that Neuton no longer supports Internet Explorer.
We recommend upgrading to the latest Microsoft Edge, Google Chrome, or Firefox.
Close

Neuton Use Cases for Neural Network and Machine Learning

Home lab testing
Challenge:
Chronic disease patients need to regularly do blood tests. However, patients - especially those suffering from cardiac attacks or undergoing cancer therapy - may experience difficulty travelling and being exposed to costly and stressful healthcare environments.
Solution:
Home lab testing devices bring patients a quick and reliable way to test their blood levels from the comfort of their home and reduce unnecessary urgent care visits. Empowered with AI, these devices can go far beyond chronic disease monitoring, making predictions on cardiac and other events days before they may occur.
Why Neuton:
Unlike other solutions, Neuton generates models that are so tiny that they can easily be embedded into any devices, and even microcontrollers. Neuton models work extremely fast making near real-time predictions. This allows patients to potentially buy some time and get to a hospital before it is too late. Furthermore, the predictions are much more accurate compared to those made by competitors, thus reducing false alarms.
Eye Decease Classification
Challenge:
As population aging has become a major demographic trend around the world, the number of patients suffering from eye diseases is expected to increase steeply. Early detection and appropriate treatment of eye diseases are of great significance to prevent vision loss and maintain quality of life. Conventional diagnostic methods are tremendously dependent on physicians' professional experience and knowledge, which lead to high misdiagnosis rate and a huge waste of medical data.
Solution:
Deep integration of ophthalmology and AI has the potential to revolutionize current disease diagnose pattern and generate a significant clinical impact. Based on data collected from the results of eye tonometry, examinations using lensometers, doctor’s observations and other tests, models for diagnostic equipment that shows the probability of eye pathology development can be created.
Why Neuton:
Neuton builds models that provide much higher accuracy compared to the ones created with other AI solutions. Besides, Neuton does not require an extensive amount of data to build accurate models. This means eye pathology can be caught and treated early before it can impact patients’ quality of life.
Early diagnosis
Challenge:
The scourge of modern society is neglected diseases. Identifying some of them at an early stage is very difficult. Considering the significant amount of research papers and medical records available, we cannot expect a doctor to master every aspect of medical care.
Solution:
AI machine learning algorithms excel far beyond what human physicians are capable of. AI can help detect life-threatening conditions based on routine vital signs and metabolic levels from electronic medical records. It allows doctors to identify patients at risk before it is too late.
Why Neuton:
Most neural network algorithms perform well on large volumes of data, but when it comes to assessing small sets of data, they fail. Unlike other solutions, Neuton excels with both large and small sets of data, delivering similarly accurate predictions in both cases.
Fraud Prediction
Challenge:
Medical fraud represent a huge cost for the national healthcare system. CMS’s Medicare is estimated to dole out $6B due to fraud every year, representing about 10% of its $60B annual expenditures.
Solution:
Machine learning plays an innovative role in fraud detection, e.g. for predicting expected treatments, medications, quantities, volumes, and costs and comparing them with the actual transactions and requested payments. This allows the state insurer to decide to postpone or deny payments if transactions or combinations of transactions seem highly suspicious, and perform investigations before processing payments.
Why Neuton:
Usually, a significant amount of data is required to effectively identify any hidden or potential fraudulent activity. Neuton easily handles such a challenge because it doesn’t require an exceptional amount of data in order to produce highly accurate results.