Google and Care AI Team Up for Autonomous Monitoring of Healthcare Facilities Using AI

Google care ai partnership
Image: care ai

Artificial Intelligence (AI) is making a huge impact on healthcare by simplifying the lives of patients, doctors and hospital administrators. AI can do these jobs precisely in less time and at a fraction of the cost.

Read more Embracing Artificial Intelligence and Machine Learning in Healthcare

care.ai, a Florida-based AI company, has partnered with Google use Google’s Coral Edge TPU to power autonomous monitoring in hospitals. This collaboration enables care.ai’s platform to leverage accelerated neural networks at the edge, to transform an ordinary room into a “Self Aware Room™,” in any care setting at enterprise scale.

Numerous patients die each year as a result of medical errors. Medical errors are the third-leading cause of death after heart disease and cancer. A recent Johns Hopkins study claims more than 250,000 people in the U.S. die every year from medical errors. care.ai’s breakthrough invention aims to create a transformative impact across clinical and operational processes to establish a new standard of care.

Using multiple modalities, care.ai sends context-aware, intelligent notifications to staff to alert and inform them about what is happening in any room at any time.  This new power of knowledge transforms archaic, reactive tasks into intelligent, proactive workflows.

Built from the ground up to be open, and rapid to deploy, care ai’s state-of-art edge sensors deliver innovation at enterprise scale. care.ai’s autonomous monitoring sensors are the next generation of IoT devices, that hold the power to transform healthcare, the company says.

An electronic circuit board
The Edge TPU allows you to deploy high-quality ML inferencing at the edge, using various prototyping and production products from Coral.

“Imagine if we brought the power of AI with autonomous monitoring to healthcare environments – we could prevent injuries, diseases, protocol breaches, and ultimately fatalities; while improving staff efficiency,” said Chakri Toleti, Founder and CEO of care.ai. “By utilizing Google’s Edge TPU, care.ai has done just that – we have built an AI sensor to monitor, predict, and infer behaviors using billions of data points in real-time. It is truly the world’s most advanced AI platform for healthcare.”

The platform’s neural network algorithms are built using the world’s most extensive library of human behavioral data, proprietary to care.ai. Our deep neural networks can actively learn and evolve on a more advanced level than any other healthcare solution. In addition, care.ai’s machine learning capabilities include first-of-its-kind enterprise staff monitoring algorithms to naturally identify strengths and expose weaknesses in workflows; to learn gaps and automatically improve accuracy, efficacy, and efficiency.

Read more How Explainable Artificial Intelligence Could Lower the Effect of Biased Algorithms

“We believe we are on the cusp of an amazing revolution for AI in healthcare and are proud to partner with care.ai to witness it becoming a reality,” said Billy Rutledge, Director of Coral. “By combining care.ai’s AI-powered autonomous monitoring platform with our edge computing framework, we can address some of the most demanding challenges in healthcare in a way that’s never been accomplished before this collaboration.”

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Cathy Russey
Cathy Russey () is Online Editor at WT | Wearable Technologies and specialized in writing about the latest medical wearables and enabling technologies on the market. Cathy can be contacted at info(at)wearable-technologies.com.