Ethicon Endo-Surgery BCD10 ENDOPATH

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.

TIDI Positioning Aid Kits Kit, Various Sizes 7 per Set

Dental imaging capture, enhance and display software.

10MM TENDON STRIPPER BLADE

Endopath Echelon Endoscopic Linear Cutter Reloads, Green, 60mm

Endopath Echelon Endoscopic Linear Cutter Reloads, White, 60mm

Set Includes the following: 242-100-008 : 2.5 mm Grasper 242-100-004 : 2.1 mm Left Blunt Nose Grasper 242-100-005 : 2.1 mm Down Blunt Nose Grasper 242-100-006 : 2.1 mm Up Blunt Nose Grasper 242-100-002 :2.1 mm Straight Blunt Nose Grasper 242-100-012 : 2.7 mm Straight Blunt Nose 242-100-007 : 2.5 mm Championª Scissors 242-100-013 : 2.7 mm Up Blunt Nose

Endopath Echelon Endoscopic Linear Cutter Reloads, Gold, 60mm

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.

TIDI Positioning Aid Kits Kit, Various Sizes 7 per Set

Dental imaging capture, enhance and display software.