Electrical Impedance Characterization of Porcine Tissue Using Machine Learning.

The incorporation of sensors onto the stapling platform has been investigated to overcome the disconnect in our understanding of tissue handling by surgical staplers. The goal of this study was to explore the feasibility of porcine tissue differentiation using bioimpedance data and machine learning methods. electrical impedance measurements were obtained in 7 young domestic pigs, using a logarithmic sweep of 50 points over a frequency range of 100 Hz to 1 MHz.

Micro-CT imaging as a method for comparing perfusion in graduated-height and single-height surgical staple lines.

Background: Wound healing is a goal for advanced technology in the surgical space to benefit clinical outcomes. Surgical staplers are commonly used in a variety of open and minimally invasive abdominal and thoracic procedures. Assessment of wound healing traits, such as perfusion, has been challenging due to technical limitations.

Potential role of proinflammatory cytokines in nerve damage related bone loss.

An estimated 375,000 people are currently suffering from spinal cord injuries and another 1.5 million are afflicted by peripheral nerve damage in the United States. Wolf's Law states that a bone grows or remodels in response to the stresses that are placed on it.