Health IT Analytics March 4, 2020
An image-guided robotic device leverages deep learning to draw blood or insert catheters to deliver drugs and fluids.
An autonomous, robotic tool used deep learning and ultrasound imaging to draw blood or insert catheters on par with or better than human providers, according to a study published in Nature Machine Intelligence.
Over 90 percent of diagnostic and therapeutic procedures in the ER, intensive care unit, catheterization lab, and operating room require gaining vascular access, researchers noted. Gaining access to vessels is a critical first step in drawing blood, administering fluids and medications, introducing endovascular devices, monitoring physiological status, and several other important procedures.
The timely delivery of these interventions can significantly affect morbidity and mortality and accessing vessels can be...
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