Extended intelligence for pulmonary procedures

Patent metadata

Field	Value
Publication number	US-12471996-B2
Application number	US-202217974689-A
Country	US
Kind code	B2
Filing date	Oct 27, 2022
Priority date	Nov 23, 2021
Publication date	Nov 18, 2025
Grant date	Nov 18, 2025

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.

First claim

What is claimed is:

1 . A method, comprising:
receiving, using a computing system, first layer input data for an artificial intelligence algorithm from one or more first devices, the one or more first layer input data comprising at least one of movement data, position data, relative distance data, or externally observable data for each of one or more persons and one or more objects within a room; receiving, using the computing system, second layer input data for the artificial intelligence algorithm from one or more second devices, the second layer input data comprising at least one of one or more patient sensor data for monitoring procedure-relevant aspects of a patient, one or more patient imaging data for monitoring images of one or more portions of a body of the patient, or one or more navigation and mapping data for monitoring one or more surgical devices relative to the one or more portions of the body of the patient, the patient being within the room, the one or more surgical devices including at least one selected from the group consisting of a cryoballoon, a cryoablation catheter, and a cryoablation console; analyzing, using the computing system, the received first layer input data and the received second layer input data based on the artificial intelligence algorithm; generating, using the computing system, one or more recommendations for guiding a medical professional in guiding the one or more surgical devices 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 three-dimensional (“3D”) or four-dimensional (“4D”) mapped guides toward, in, and around the lung of the patient; generating, using the computing system, one or more extended reality (“XR”) images, based at least in part on the generated one or more recommendations, wherein generating one or more extended reality images further includes imaging of the cryoballoon in real time to visualize an ice growth for cryoablation; and presenting, using the computing system and using a user experience (“UX”) device, the generated one or more XR images.

2 . The method of claim 1 , wherein the computing system comprises at least one of an XR computing system, a medical procedure computing system, a hub computing system, a 3D graphical processing unit, a cluster computing system, a 4D graphics computing system, a server computer, a cloud computing system, or a distributed computing system.

3 . The method of claim 1 , wherein the one or more surgical devices comprise at least one of one or more catheters, one or more catheter interconnect cables, one or more balloons, one or more rigid robotic devices, one or more soft robotic devices, one or more robotic systems, one or more robotic arms, one or more needles, one or more therapeutic delivery devices, one or more diagnostic devices, one or more diagnostic catheters, one or more bronchoscopes, one or more surgical tools, one or more drug pumps, one or more delivery pharmaceuticals, one or more biopsy tools, one or more excision tools, one or more ablation tools, one or more monitoring devices, one or more cameras, one or more imaging tools, one or more fiducials, one or more staples, one or more anchors, one or more lasers, one or more guide wires, one or more introducers, one or more sheaths, one or more pillcams, one or more clips, one or more capsules, one or more energy delivery tools, a catheter electrode distribution system (“CEDS”), a pulsed field ablation (“PFA”) system, a PFA console, an electroporation system, an electroporation control console, a radio frequency (“RF”) ablation-based system, an RF ablation control console, a laser ablation-based system, a laser ablation control console, a radiation ablation-based system, a radiation ablation control console, a microwave ablation-based system, a chemical ablation-based system, a loop catheter, a hoop catheter, a circular catheter, an RF catheter, a phased RF catheter, a high intensity focused ultrasound (“HIFU”) system, a HIFU control console, or one or more capital equipment.

4 . The method of claim 1 , wherein the one or more patient sensor data are obtained using one or more sensors comprising at least one of one or more chronically implanted sensors, one or more diagnostic sensors, one or more surgical sensors, one or more wearable sensors, one or more gas sensors, one or more optical sensors, one or more impedance sensors, one or more ultrasound sensors, one or more flow sensors, one or more blood velocity sensors, one or more blood volume sensors, one or more motion sensors, one or more sound sensors, one or more blood pressure sensors, one or more heart rate sensors, one or more pulse sensors, one or more oxygen sensors, one or more pulse oximetry sensors, one or more carbon dioxide (“CO 2 ”) sensors, one or more fluid levels, one or more lung volume sensors, one or more respiration rate sensors, one or more tidal volume sensors, one or more lung filling pressure sensors, one or more piezoelectric sensors, one or more accelerometers, one or more image sensors, one or more acoustic sensors, one or more temperature sensors, one or more ambulatory activity monitoring sensors, one or more patient weight sensors, one or more patient mattress sensors, one or more doppler sensors, one or more biomarker sensors, one or more perfusion sensors, one or more electromyography (“EMG”) sensors, one or more electrocardiogramsors, one or more sleep sensors, one or more hematocrit (“HCT”) level sensors, one or more biometric sensors, one or more electroencephalographic (“EEG”) sensors, one or more apnea monitoring sensors, one or more dyspnea monitoring sensors, one or more nociception monitoring sensors, or one or more pain sensors.

5 . The method of claim 1 , wherein the one or more patient imaging data are obtained using one or more imaging devices comprising at least one of a magnetic resonance imaging (“MM”) system, a diffusion-tensor imaging (“DTI”) system, a computed tomography (“CT”) system, an ultrasound (“US”) system, a transesophageal echocardiography (“TEE”) system, an intra-cardiac echocardiography (“ICE”) system, a transthoracic echocardiography (“TTE”) system, an intravascular ultrasound (“IVUS”) system, an electromechanical wave imaging (“EWI”) system, a single photon emission computed tomography (“SPECT”) system, a magnetic resonance angiography (“MRA”) system, a computed tomography angiography (“CTA”) system, a blood oxygen-level dependent signal (“BOLD”) system, an arterial spin labeling (“ASL”) system, a positron emission tomography (“PET”) system, an optical coherence tomography (“OCT”) system, an optical imaging spectroscopy (“OIS”) system, a magnetic resonance spectroscopy (“MRS”) system, a dynamic susceptibility contrast (“DSC”) MRI system, a fluid-attenuated inversion recovery (“FLAIR”) system, a fluoroscopy system, an X-ray system, a 3D scanning system, an infrared (“IR”) system, an ultraviolet (“UV”) system, a bioluminescent system, an endoscopy system, a triboluminescence system, an image fusion system, or a microscope.

6 . The method of claim 1 , wherein the pulmonary procedure comprises at least one of a bronchoscopy procedure, a lung tissue denervation procedure, a lung tissue biopsy procedure, a chronic obstructive pulmonary disease (“COPD”) diagnosis procedure, a dyspnea diagnosis procedure, a pneumonia diagnosis procedure, an asthma diagnosis procedure, a long-term corona virus diagnosis procedure, an anaphylactic response diagnosis procedure, a bronchitis diagnosis procedure, a lung cancer diagnosis procedure, a COPD treatment procedure, a dyspnea treatment procedure, a pneumonia treatment procedure, an asthma treatment procedure, a long-term corona virus treatment procedure, an anaphylactic response treatmen

Assignees

• Medtronic Inc

Inventors

• Braido Peter N
• Schulhauser Randal C
• Addison Paul S
• Balter Max L
• Brannan Joseph D
• Yang Zhongping
• Sarkar Shantanu
• Coulombe Nicolas

Classifications

• A61B2034/2063

  Acoustic tracking systems, e.g. using ultrasound · CPC title

• A61B34/20 Primary

  Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis · CPC title

• A61B2034/107

  Visualisation of planned trajectories or target regions · CPC title

• A61B2017/00809

  Lung operations · CPC title

• A61B2034/2065

  Tracking using image or pattern recognition · CPC title