Abstract: A system for performing a surgical procedure includes a catheter including a camera and an electromagnetic sensor and a workstation operably coupled to the catheter, the workstation including a memory storing instructions, which when executed cause a processor to receive pre-procedure images of a patient's anatomy, generate a 3D representation of the patient's anatomy, identify first anatomical landmarks within the generated 3D representation, identify a location of the EM sensor within a reference coordinate frame, receive real-time images from the camera, identify second anatomical landmarks within the received real-time images corresponding to the identified first anatomical landmarks, identify a location of the camera within the reference coordinate frame using the identified second anatomical landmarks corresponding to the identified first anatomical landmarks, and register a location of the catheter to the 3D representation using the identified locations of the EM sensor and the camera within the refere

Abstract: Systems and methods of automatic orientation detection in fluoroscopic images using deep learning enable local registration for correction of initial CT-to-body registration in Electromagnetic Navigation Bronchoscopy (ENB) systems.

Abstract: Provided herein are methods and systems for use with peristaltic pumps. More particularly, provided herein are peristaltic pump systems that include a dampener for reducing the pulsations of the flowrate from the peristaltic pump system to produce, mix, transfer and/or manufacture pharmaceutical compositions and formulations, including pharmaceutical compositions and formulations comprising lipids and RNA.

Abstract: Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include displaying, in a screen, a three-dimensional (3D) view of a 3D model of a target from the perspective of a medical device tip. The methods also include displaying, in the screen, a live two-dimensional (2D) fluoroscopic view showing a medical device, and displaying a target mark, which corresponds to the 3D model of the target, overlaid on the live 2D fluoroscopic view. The methods may include determining whether the medical device tip is aligned with the target, displaying the target mark in a first color if the medical device tip is aligned with the target, and displaying the target mark in second color different from the first color if the medical device tip is not aligned with the target.

Abstract: Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include displaying, in a screen, a three-dimensional (3D) view of a 3D model of a target from the perspective of a medical device tip. The methods also include displaying, in the screen, a live two-dimensional (2D) fluoroscopic view showing a medical device, and displaying a target mark, which corresponds to the 3D model of the target, overlaid on the live 2D fluoroscopic view. The methods may include determining whether the medical device tip is aligned with the target, displaying the target mark in a first color if the medical device tip is aligned with the target, and displaying the target mark in second color different from the first color if the medical device tip is not aligned with the target.

Abstract: Systems and methods of automatic orientation detection in fluoroscopic images using deep learning enable local registration for correction of initial CT-to-body registration in Electromagnetic Navigation Bronchoscopy (ENB) systems.

Abstract: Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include displaying, in a screen, a three-dimensional (3D) view of a 3D model of a target from the perspective of a medical device tip. The methods also include displaying, in the screen, a live two-dimensional (2D) fluoroscopic view showing a medical device, and displaying a target mark, which corresponds to the 3D model of the target, overlaid on the live 2D fluoroscopic view. The methods may include determining whether the medical device tip is aligned with the target, displaying the target mark in a first color if the medical device tip is aligned with the target, and displaying the target mark in second color different from the first color if the medical device tip is not aligned with the target.