Accelerate Your Patient Care and Outcomes

At Xyonix, we use cutting edge artificial intelligence to rapidly and repeatedly deliver you insights from your health data.

Health systems generates troves of data like electronic medical records, claims information, diagnostic data and increasingly, data from smart devices like AI powered stethoscopes, endoscopes, toilets and more.

Rapidly maturing machine learning and AI technologies like ChatGPT are allowing healthcare providers to reach new levels of business efficiency by transforming this data into insights and predictions that identify problems early, increase operational effectiveness, drive down costs, and make us healthier.

Let’s Chat AI Models

Request a consultation with an AI Expert (not a salesperson) and make sense of your text data.

How can health institutions benefit from AI?

At Xyonix, we teach machines how to read your health related data. With our enhanced abilities, your custom built Health AI and machine learning models can give you insights and make high-value, patient care related predictions for you.

 

Hospital Readmissions

Analyze your hospital discharge and readmission data to reduce the rate of readmissions.

 

Physician assistance & training

Improve physician performance through diagnostic technology and training tools.

 
 
 

Sports medicine therapy

Evaluate posture, gait and body pose progress to improve sports and rehabilitation therapy outcomes.

 
 

Covid-19 & Infectious Disease

Predict disease outcomes, prevent infection, and improve vaccine compliance.

 

Discover the benefits of artificial intelligence for health

Assistive Technologies and AI: Improving Hearing Aids Using Artificial Intelligence

Learn how AI hearing aids showcase the advantages of integrating existing assistive technologies with artificial intelligence.

Predicting Covid-19 like the Weather, Using AI to Harness a Network of Health Sensors

Explore how AI has the potential to predict the likelihood of a new wave of Covid-19 and other infectious diseases.

Using AI to Improve Sports Performance & Achieve Better Running Efficiency

See how we can leverage machine learning understanding of a single document to better understand the broader conversation.

Using AI To Assist Physicians With Dr. Tom Lendvay

In this episode, Dr. Tom Lendvay, a physician from Seattle Children’s Hospital, explains how AI can best be used for assisting physicians and what changes are needed to allow for machine learning to make a bigger impact.

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Dominique Grinnell
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Dominique Grinnell
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“I don’t think a five out of five really encapsulates the work that they do. The work is top-notch. It’s what we ask for and more. They go the extra mile in terms of letting us know that whatever we need, they’re there for us to lend their expertise, to be in a meeting if they need to, to explain the project in more detail. So it’s really going above and beyond.”

Dominique Grinnell, Sr. Product Team Manager at Delta Dental of Washington [more]

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Ready to make sense of your text data?

Request a free consultation and learn how advanced AI can accelerate your business.

Featured Natural Language Processing Articles:

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From RAG to Riches: A Practical Guide to Building Semantic Search Using Embeddings and the OpenSearch Vector Database
From RAG to Riches: A Practical Guide to Building Semantic Search Using Embeddings and the OpenSearch Vector Database

In this article, we delve into the evolution of search technologies, tracing the journey from the conventional keyword-based search methods to the cutting-edge advancements in semantic search. We discuss how semantic search leverages sentence embeddings to comprehend and align with the context and intentions behind user queries, thereby elevating the accuracy and relevance of search outcomes. Through the integration of vector databases such as OpenSearch, we illustrate the development of sophisticated semantic search systems designed to navigate the complexities of modern data sets. This approach not only delivers a more refined search experience but also enhances the precision of results by accurately interpreting the intent of user inquiries, representing a notable leap forward in the progression of search technology.

AI Gone Wrong? The Critical Role of Chatbot Testing and Certification
AI Gone Wrong? The Critical Role of Chatbot Testing and Certification

AI chatbots are transforming customer service by providing 24/7 availability and interactions that resemble human conversation. It's anticipated that by 2025, 80% of customer support will utilize Generative AI to improve the customer experience and increase agent efficiency. However, the swift adoption of this promising technology has faced obstacles, particularly miscommunications that have risked brand reputations. To prevent inaccuracies it's essential to adopt thorough AI testing and certification processes. In this article, learn more about why rigorous testing and certification are critical for the successful integration of AI chatbots in customer service.

Measuring Accuracy and Trustworthiness in Large Language Models for Summarization & Other Text Generation Tasks
Measuring Accuracy and Trustworthiness in Large Language Models for Summarization & Other Text Generation Tasks

Large Language Models (LLMs) are increasingly popular due to their ability to complete a wide range of tasks. However, assessing their output quality remains a challenge, especially for complex tasks where there is no standard metric. Fine-tuning LLMs on large datasets for specific tasks may be a potential solution to improve their efficacy and accuracy. In this article, we explore the potential ways to assess LLM output quality: