Continuous intelligence (CI) is enabling innovative approaches to healthcare, giving clinicians fast, more accurate diagnosis
How the healthcare industry uses real-time analytics, including to monitor patients, save lives, and enable staff location-management in medical facilities. Predictive medicine applications are also explored.
With continuous advancement of Bluetooth Low Energy (BLE) radios and advanced machine learning techniques, there is an opportunity to realize better …
AI is unlikely to replace a human clinician anytime soon. However, it may help with synthesizing and collecting patient data.
Predictive analytics use R-T data, AI to combat sepsis, help prevent 8,000 deaths.
While all areas of healthcare delivery could be impacted positively by AI, radiology may see the quickest improvement in patient outcomes with this
The predictive analytics partnership will help identify high-risk patients for targeted
Thanks to mobile and real-time technologies, infectious diseases are being identified and managed in the critical earlier stages of outbreaks.
U.S.-based Syntropy will bring cancer data analytics tools to research
As new tech like wearables and connected medical devices grows in use, how will real-time analytics impact healthcare
Hearing aids benefit their users via AI technologies, but increasingly its hard to find the AI talent to work on these