Transforming Medical Devices with AI Innovation

Ready to embrace the transformative power of AI in your medical devices?

As the healthcare industry evolves, the integration of Artificial Intelligence in medical devices has become a game-changer. At Xyonix, we understand the unique challenges and opportunities that medical device manufacturers face in harnessing the power of AI. Our team of seasoned AI experts are here to help you navigate its complex landscape in healthcare, and unlock its full potential for your medical device innovations.

Let’s Chat AI Models

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

How can medical device manufacturers benefit from AI?

At Xyonix, we teach machines how to read your health related data. By harnessing the power of AI to improve product design, development, quality control, and production efficiency, our custom-built machine learning models enable medical device manufacturers to create innovative and dependable medical devices.

 

Get a taste of our capabilities:

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AI Med Spa Assistant

AI Med Spa Assistant

Xyonix teamed up with an early-stage startup to launch an AI iPhone app based assistant to help Med Spa nurse practitioners. The AI technology adeptly categorized facial features, aiding in the assessment of treatments and spotting issues like temporal visual changes, ineffective product batches or injector performance. Integrated with iOS for precise patient driven photo alignment, the system enabled consistent treatment tracking. We played a pivotal role in technology development and strategic product planning; our involvement was key in fusing medical accuracy with technological innovation in product development.

AI Backed Surgery, A Case Study

AI Backed Surgery

For a fortune 500 company, our Xyonix built models are in production today constantly analyzing thousands of recent in body surgery videos and reviews across many hundreds or thousands of surgery rooms around the world. Our models watch never ending streams of surgery videos, and read countless reviews. Our models power dashboards that help surgeons improve.

AI Endoscope

AI Endoscope

We trained an AI system to automatically detect cancerous lesions from a customer’s novel disposable endoscope. Our system can help physicians detect lesions including papillary carcinomas in procedures like a cytoscopy.

AI Stethoscope

AI Stethoscope

We enabled a smartphone based digital stethoscope with AI to assist general physicians and cardiologists in diagnosing anomalous heart conditions including heartbeat murmurs. Our client’s now AI powered stethoscope is used daily by many physicians to detect potential problems in patients. Demo video HERE.

Discover the benefits of artificial intelligence for healthcare

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 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: