Case study – Ambulatory ECG analysis and reporting for arrhythmia detection
How can staicy capture, analyze and report data of a wearable medical device?
Google’s AI capabilities can predict with greater accuracy than a hospital’s computers when a critically ill patient will die, according to a new study.
Artificial intelligence researchers at Google claim they have used new software to more accurately predict hospital patient outcomes, including death, discharge and readmission, than is currently possible with existing software, according to a Quartz report.
The FDA today floated some ideas on how it might regulate medical devices armed with artificial intelligence - also known as software-as-a-medical-device (SaMD) - whose algorithms can change based on machine learning (ML) and possibly affect people in ways for which they were not approved or cleared.
Artificial intelligence has tremendous potential for the healthcare system. But it’s success requires large quantities of accurate data, among other things.
Visualize data correlation with personalized dashboards from nearly any device across all major operating systems and experience a 360-degree view of your health and research project. Make decisions based on predictive and prescriptive analytics with staicy’s AI.
genae, a global service provider for the medical industries, today announced the acquisition of Hilbert Paradox (HPX), a digital health data management platform.