GEORGE KING BIO-MEDICAL, INC 1403-1.0 George King von Willebrand Plasma Type 3

Tempus ECG-AF is a cardiovascular machine learning-based notification software intended to analyze recordings of 12-lead ECG devices from patients 65 years of age and older. The software employs machine learning techniques to analyze ECG recordings and detect signs associated with a patient experiencing atrial fibrillation and/or atrial flutter (collectively referred to as AF) within the next 12 months. The device is designed to extract otherwise unavailable information from ECGs conducted under the standard of care, to help health care providers better identify patients who may be at risk for undiagnosed AF in order to evaluate them for referral of further diagnostic follow up and address the unmet need of reducing the number of undiagnosed AF patients.

QuantX is a software program that is used to view and analyze patient breast images.

ARYS pro is intended to track and organize patient health and activity information recorded by sensors on the paretic and healthy wrist and using a mobile app for visualization.

StrokeViewer LVO Triaging is a notification only cloud-based image processing software application using artificial intelligence algorithms to analyze patient imaging data in parallel to the standard of care imaging interpretation.

Finger Trap Large

Amplatz Type Renal Dilator/Sheath Set

Looking to sell brand new Endoscope Guide devices by Olympus. They were purchased in 04/2018 for $17,900 and never opened. ScopeGuide UPD-3 is an exclusive Olympus technology designed to provide a real-time 3D image of the shape and position of the endoscope inside the body.

Burr, Oval, 10 flute, 3.0mm

icobrain is software intended for automatic labeling, visualization and volumetric quantification of segmentable brain structures from a set of MR images.

Tempus ECG-AF is a cardiovascular machine learning-based notification software intended to analyze recordings of 12-lead ECG devices from patients 65 years of age and older. The software employs machine learning techniques to analyze ECG recordings and detect signs associated with a patient experiencing atrial fibrillation and/or atrial flutter (collectively referred to as AF) within the next 12 months. The device is designed to extract otherwise unavailable information from ECGs conducted under the standard of care, to help health care providers better identify patients who may be at risk for undiagnosed AF in order to evaluate them for referral of further diagnostic follow up and address the unmet need of reducing the number of undiagnosed AF patients.

QuantX is a software program that is used to view and analyze patient breast images.

ARYS pro is intended to track and organize patient health and activity information recorded by sensors on the paretic and healthy wrist and using a mobile app for visualization.

StrokeViewer LVO Triaging is a notification only cloud-based image processing software application using artificial intelligence algorithms to analyze patient imaging data in parallel to the standard of care imaging interpretation.