Point-of-care diagnostics are performed and yield results at the site of patient care, whether at home, the doctor's office, or anywhere in between. This allows for lower cost, easy-to-use, and ...

CorVista System is a non-invasive point-of-care solution that is intended to synchronously collect and apply machine learning to a patient’s cardiac and hemodynamic signals to predict the ...

Point-of-care ultrasonography (POCUS) is defined as the acquisition, interpretation, and immediate clinical integration of ultrasonographic imaging performed by a treating clinician at the patient ...

With the advent of point-of-care ultrasound, or POCUS, the imaging paradigm has shifted away from the traditional model of the images being acquired by a trained sonographer and then sent to a ...

A machine learning tool to rapidly monitor disease status in patients with multiple myelomaPURPOSEThe gold standard for monitoring response status in patients with multiple myeloma (MM) is serum and ...

The other point-of-care machine is the Abbott ID Now. Earlier this year, the federal government sent 15 Abbotts to each state, with the exception of Alaska, which got 50 because of its remoteness.

Epic touts new AI applications to streamline charting and bring research insights to the point of care By Heather Landi Aug 21, 2024 6:00am Epic Judy Faulkner Artificial Intelligence generative AI ...

Everything is processed inside the machine, from printing labels to sorting and packaging prescriptions and loading them in a tray for nurses to distribute. The center accommodates up to 180 patients.