By simplifying the process for analyzing the human body to accurately diagnose health conditions, we were thrilled to announce on June 10th the close of our $9 million Series A financing round.
Today, we will be discussing AI and sleep medicine, the current relationship between them and how AI might transform sleep medicine going forward.
To collect the data discussed in our downloadable COVID-19 Sleep Center Impact Study, we conducted 100 phone interviews of leading sleep medicine clinicians and operators at sleep clinics.
In light of the COVID-19 pandemic, sleep labs are facing a variety of new challenges and many unanswered questions.
Our team embarked on a nationwide market research project to understand the biggest challenges sleep centers are facing as they adjust patient care and operations in light of COVID.
In this opinion piece, I explore the potential benefits of data collection, and give my opinion on how we will use huge amounts of data to help, rather than hurt or control, individuals and society.
In these difficult times where it seems like the lowest-tech items are what stand in the way of providing care, it’s good to be reminded of the powerful role that healthcare technology has played in past pandemics.
EnsoData’s Artificial Intelligence (AI) team had the privilege to attend the 33rd Neural Information Processing Systems (NeurIPS) annual conference in Vancouver, Canada. NeurIPS is the largest AI conference in the world,