AI in Health
At Xyonix, we use cutting edge artificial intelligence to rapidly and repeatedly deliver you insights and advantages from your health data.
Our healthcare system 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. AI and machine learning is rapidly helping transform this data from its complex and often unstructured forms into insights and predictions that identifies problems early, increases operational effectiveness, drives down costs and most importantly, makes us healthier.
Vaccine Hesitant Persona Mapper
We were asked by Columbia University to help build a map of vaccine hesitancy to assist public health officials in increasing vaccination rates. We built a corpus of millions of social media messages from platforms like Twitter, Reddit and Youtube comments. We are now analyzing this data by manually annotating thousands of training examples using a multi-parent taxonomy and iteratively (active learning driven) training a multi-label machine learning and NLP powered parser. If we are successful, we hope to save lives by convincing the vaccine hesitant to protect themselves and their communities.
Virtual Intake Specialist
We helped a company build a powerful virtual intake specialist that automatically communicates with patients to route them to the best care for their condition. Our AI system listens to patients and asks them just the right follow up questions, much like a traditional intake nurse might, to help schedule the best care option.
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.
“Xyonix proved instrumental in helping us formulate our AI and machine learning strategy. They asked great questions and provided deep analysis which helped us better understand our customers, business and data.”
— Ian Kalin, CTO @ eHealth, Inc. [more]
At Xyonix, we teach machines how to read your health related content, see what is in your diagnostic imagery, watch what is in your life impacting videos and understand what is in your data. With this enhanced ability, your custom built Health AI and machine learning models can give you insights and make high value, patient care related predictions for you.
Interested in using AI to accelerate your healthcare application? Contact us and lets dig in together.
Want to Dig in Deeper? Check out some of our articles
Artificial intelligence has the potential to be a game changer by offering innovative solutions in monitoring, motivating, and sustaining positive habits related to medical adherence.
How we communicate and conduct business will likely forever be changed as a result of the COVID-19 pandemic. While telecommunication technologies have helped ease our burden, we simultaneously face a looming mental health crisis. With a burdened healthcare system and a large population at risk in isolation, innovative solutions are required to help those in need and to facilitate more informed communication.
The national weather service operates a massive sensor array including sensors located on weather balloons, in airplanes, on land, in sea buoys, and from satellites. Just like a confluence of variables can indicate a hurricane is on the way, we believe an infectious disease forecasting service powered by AI can predict the likelihood of a new wave of C19 and other infectious diseases.
AI can be used to generate regional forecasts of infectious disease rates that, in turn, empower government and other leaders to make prudent social distancing and other preemptive modifications. As a case study, we will look at influenza data supplied by the Centers for Disease Control. Our goal is to use ILI data to train a model that will accurately predict future seasonal flu levels.
more of a podcast listener? we explore ai and health in your ai injection
In this episode of Your AI Injection, Deep talks with Artem Semjanow, CEO of Neatsy, about how their app uses smartphone photos to help people with musculoskeletal pains by analyzing posture and recommending treatments. The two discuss the technical and medical hurdles of simulating a doctor’s visual exam through the app, and the need for accuracy and medical collaboration. They also delve into the future of healthcare, highlighting how AI could improve access and quality by aiding in remote diagnostics and patient care. [LISTEN]
In the latest episode of Your AI Injection, behavioral healthcare expert Dr. Kelly Koerner and host Deep Dhillon delve into the possibilities of using ChatGPT in the realm of behavioral therapy. The duo examine how this chatbot technology could reflect on patients' concerns, validate their experiences, and impart knowledge, as well as how it engages with them. [LISTEN]
Have you ever wondered how robotic arms can be controlled using your mind? This week on Your AI Injection, we learn about how analysis of deep neural networks using AI can be used to classify and model brain activity, and how this information is being used to develop technology for people with disabilities. [LISTEN]