Shukla Medical MDE19250 Shukla Winquist 3 - MKS1017

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.

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.

VMA DataLink Software (SW4) available to customers on Ortho Kinematics secure site

Square shape TENS/EMS Electrode Pads includes specification of 20*20, 30*30, 40*40, 50*50, 60*60, 70*70, 80*80

K-WIRE TROCAR POINT BOTH ENDS .062 X 4

K-WIRE Trocar POINT BOTH ENDS .035 x 4

Camera Head with Integrated Coupler

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. *

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.

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.

VMA DataLink Software (SW4) available to customers on Ortho Kinematics secure site