| Name | Title | Contact Details |
|---|---|---|
Nohyun Myung |
Vice President of Applied Data Science, Machine Learning and Artificial Intelligence | Profile |
Azalea Health is changing the way health IT platforms connect community-based healthcare providers and patients across the lifecycle of care. Offering a 100% cloud-based integrated solution, Azalea delivers electronic health records and revenue cycle management designed for rural and community practices and hospitals. Quick to deploy and intuitive to use, Azalea solutions ensure better care coordination and communication – enabling better outcomes and a meaningful competitive advantage.
inhouseIT is a Costa Mesa, CA-based company in the Computers and Electronics sector.
Welm is a Elmira, NY-based company in the Computers and Electronics sector.
Avast (LSE: AVST), the global leader in next-gen cybersecurity products for businesses and consumers, protects hundreds of millions of people online. Avast offers products under the Avast and AVG brands that protect people from threats on the internet and the evolving IoT threat landscape. The company`s threat detection network is among the most advanced in the world, using machine learning and artificial intelligence technologies to detect and stop threats in real time. Avast creates top-ranked digital security products for Mobile, PC, and Mac. Avast is always looking for creative and innovative people to join our team. We have offices in the Czech Republic, USA, Europe, China, and Japan.
Aidéo Technologies provides software automation tools using artificial intelligence, robotics, and machine learning for the healthcare industry. Established in 2009, the company has development centers in Melbourne, Florida, Silicon Valley, and Mumbai, India. It`s flagship product, Gemini AutoCode, uses a proprietary Natural Language Processing engine and machine learning to interpret structured and unstructured clinical data. The software assigns the appropriate procedure and diagnosis codes, with no human intervention required. Manual coders can typically complete between 100-200 medical encounters per FTE during an eight hour work shift, while Aideo Technologies` automated coding solution can accurately code twelve encounters per second.