C.M.P. Canadian Medical Products Inc AD9500 C.M.P. Cable

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.

FeetMe Evaluation mobileAndroid application version 3.Y.Z.

The EPF-1 Thunderbeat is part of the Olympus THUNDERBEAT surgical tissue management system, comprising the ESG-400 generator, the USG-400 generator, a communication cable, and monopolar single and dual footswitches. *Please note that the USG-400 on this listing has a cracked screen. However, the unit is 100% functional. *

Fiberoptic Light Cable (Wolf Scope and Stryker Light Source Fittings, Snap-On)

MANI CARBIDE BURS

K-WIRE TROCAR POINT BOTH ENDS .062 X 4

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.

FeetMe Evaluation mobileAndroid application version 3.Y.Z.