Physician Assistance & Training

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With the increase in AI and machine learning capabilities, we are making groundbreaking advances. Recently a team at Stanford built a model that outperforms the average radiologist at diagnosing pneumonia from chest X-rays [1]. Another team recently built a deep learning based model that detects skin cancer from photos with an efficacy rate on par with tested Dermatologist experts [2]. We at Xyonix are building models for a company to assist general physicians and cardiologists in diagnosing anomalous heart conditions based on a smartphone based audio signal. Our Xyonix built models are in production today constantly analyzing thousands of recent surgery videos and helping to make surgeons perform better. If you have data that you suspect could help a physician make a more accurate diagnosis or improve, we can rapidly assess your hypothesis and help you get your tool into the hands of physicians where it can make a real impact.

Interested in using AI to analyze your diagnostic or other healthcare data? >> CONTACT US << and let's dig in together. Want to find out more first, then

read our detailed Whitepaper on how AI is changing healthcare -- you will be affected.

REFERENCES

  1. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning, Rajpurkar et al, rXiv:1711.05225

  2. Dermatologist-level classification of skin cancer with deep neural networks, Esteva et al, Nature 542, 115–118 (02 February 2017) doi:10.1038/nature21056

  3. Photo by Adrian Clark / CC BY