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公开(公告)号：US20210315629A1
公开(公告)日：2021-10-14
申请号：US17182594
申请日：2021-02-23
Applicant: Medtronic, Inc.
Inventor： Zhongping Yang , Anthony W. Rorvick , Brian D. Pederson , Randal Schulhauser , Nicolas Coulombe , David A. Anderson , Joseph D. Brannan , Mark T. Stewart , Jean-Pierre Lalonde
Abstract: A method of creating a shunt between a right atrium and a left atrium of a mammalian heart including puncturing an atrial septum between the right atrium and the left atrium to create a shunt. An ablation device having balloon is advanced at least partially through the shunt. The balloon is inflated and configured to thermally isolate the atrial septum from blood within the left atrium and the right atrium. Ablation energy is delivered to ablate the atrial septum.
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公开(公告)号：US20230157757A1
公开(公告)日：2023-05-25
申请号：US17974689
申请日：2022-10-27
Applicant: Medtronic, Inc.
Inventor： Peter N. Braido , Randal C. Schulhauser , Paul S. Addison , Max L. Balter , Joseph D. Brannan , Zhongping Yang , Shantanu Sarkar , Nicolas Coulombe
CPC classification number: A61B34/10 , G06T19/003 , G06T19/006 , A61B2034/104 , A61B2034/105 , G06T2210/41
Abstract: Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for pulmonary procedures. In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in guiding a surgical device(s) toward and within a lung of the patient to perform a pulmonary procedure, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the lung of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.
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公开(公告)号：US20210369321A1
公开(公告)日：2021-12-02
申请号：US17399344
申请日：2021-08-11
Applicant: Medtronic, Inc.
Inventor： Zhongping Yang , Nicolas Coulombe , Anthony W. Rorvick , Brian D. Pederson , Randal Schulhauser , David A. Anderson , Joseph D. Brannan , Mark T. Stewart , Jean-Pierre Lalonde
Abstract: A method of creating a shunt between a right atrium and a left atrium of a mammalian heart including puncturing an atrial septum between the right atrium and the left atrium to create a shunt. An ablation device having balloon is advanced at least partially through the shunt. The balloon is inflated and configured to thermally isolate the atrial septum from blood within the left atrium and the right atrium. Ablation energy is delivered to ablate the atrial septum.
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公开(公告)号：US20230157762A1
公开(公告)日：2023-05-25
申请号：US17955941
申请日：2022-09-29
Applicant: Medtronic, Inc.
Inventor： Peter N. Braido , Randal C. Schulhauser , Niall F. Duffy , Julie A. Benton , Zhongping Yang , Richard J. O'Brien , Walton W. Baxter , Roy A. Wilsker , Tal Davidson , William C. Harding , Max L. Balter , Joseph D. Brannan , Mark L. Stiger , Keith D. Perkins
CPC classification number: A61B34/20 , A61B34/37 , A61B90/37 , A61B2017/00207
Abstract: Disclosed herein are techniques for implementing an intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for soft tissue luminal applications. In various embodiments, a computing system analyzes first layer input data (indicating movement, position, and/or relative distance for a person(s) and object(s) in a room) and second layer input data. The second layer input data includes sensor and/or imaging data of a patient. Based on the analysis, the computing system generates one or more recommendations for guiding a medical professional in navigating a surgical device(s) with respect to one or more soft tissue luminal portions of the patient. The recommendation(s) include at least one mapped guide toward, in, and/or around the one or more soft tissue luminal portions. The mapped guide can include data corresponding to at least three dimensions, e.g., a 3D image/video. The computing system can present the recommendation(s) as image-based output, using a user experience device.
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