Dermaclip Us, L.L.C. 61004 DermaClip

FeetMe Evaluation mobileAndroid application version 3.Y.Z.

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.

Dental imaging capture, enhance and display software.

Zip 4 Surgical Skin Closure Device

Non-woven adhesive wound dressing

3M™ Medipore™ +Pad Soft Cloth Adhesive Wound Dressing, 3564, Dressing - 2-3/8 in x 4 in, Pad - 1 in x 2-3/8 in

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.

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.

FeetMe Evaluation mobileAndroid application version 3.Y.Z.

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.

Dental imaging capture, enhance and display software.