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EP-4739244-A1 - SYSTEM AND METHOD FOR CONDUCTING TELE-ROBOTIC RADIOLOGICAL PROCEDURES USING ROBOTIC ARM

EP4739244A1EP 4739244 A1EP4739244 A1EP 4739244A1EP-4739244-A1

Abstract

The present disclosure provides a system (100) and method (600) for conducting tele-robotic radiological procedures, comprising: a processor (202) to establish a connection between a user equipment (106) and a robotic system (112) using a network (108); a memory (204) to store images; a processing engine (208) to: integrate the robotic system (112) with the network (108); enable a communication between the medical professional (110) and the robotic arm (114) using the network (108); use a haptic device (130) to control movement of a robotic arm (114); transmit directional inputs of the medical professional (110) to the robotic arm (114); enable the robotic arm (114) to mimic movements of the medical professional (110); and display the images of a patient on the user equipment (106) through the network (108).

Inventors

  • BHATNAGAR, ASHISH
  • KUMAR, VINEET
  • BHATNAGAR, AAYUSH
  • BHATNAGAR, PRADEEP KUMAR

Assignees

  • Jio Platforms Limited

Dates

Publication Date
20260513
Application Date
20240610

Claims (20)

  1. 1. A system (100) for conducting tele -robotic radiological procedure, wherein the system (100) comprising: a processor (202) configured to establish a connection between a user equipment (106) of a medical professional (110) and a robotic system (112) by using a network (108); a memory (204) coupled to the processor (202), and configured to store images captured during a radiological procedure; and a processing engine (208) configured to: integrate the robotic system (112) located at a first location with the network (108); enable a real-time communication between the medical professional (110) and a robotic arm (114) of the robotic system (112) by using the network (108); enable the medical professional (110) located at a second location to use a haptic device (130) at the user equipment (106) to control a movement of the robotic arm (114) of the robotic system (112); receive directional inputs of the medical professional (110) by using the haptic device (130) and transmit the directional inputs in form of physical movements to the robotic arm (114) of the robotic system (112); enable the robotic arm (114) to mimic the movements of the medical professional (110) in real time based on the directional inputs; and display the captured images of a patient on the user equipment (106) in real time through the network (108).
  2. 2. The system (100) as claimed in claim 1, wherein the network (108) is a fifth generation (5G) network.
  3. 3. The system (100) as claimed in claim 1, wherein the haptic device (130) is associated with a Human Machine Interface (HMI) (116) of the user equipment (106) to enable the medical professional (110) to communicate with a virtual environment for conducting the radiological procedure virtually.
  4. 4. The system (100) as claimed in claim 3, wherein the processing engine (208) is configured to enable the medical professional (110) to complete diagnosis in real-time or asynchronously, upon conducting the tele-robotic radiological procedure virtually.
  5. 5. The system (100) as claimed in claim 1, wherein the processing engine (208) is configured to provide haptic feedback to the medical professional (110) in real-time by using the haptic device (130) while manipulating the robotic arm (114).
  6. 6. The system (100) as claimed in claim 1, wherein the processor (202) is configured to verify one or more components of the system (100).
  7. 7. The system (100) as claimed in claim 1, wherein the processing engine (208) is configured to display a complete setup of the patient on the user equipment (106).
  8. 8. The system (100) as claimed in claim 1, wherein the processing engine (208) is configured to manage power supply and actuation mechanism of the robotic arm (114).
  9. 9. The system (100) as claimed in claim 1 , wherein the processing engine (208) is configured to convert control signal from a robotic arm controller (118) into appropriate signal for an actuator movement.
  10. 10. The system (100) as claimed in claim 1, wherein the robotic system (112) comprises a 6-degree-of-freedom positional sensing robotic arm (114) with a radiological probe and a 3 degree of freedom force feedback to provide feedback when pressed against an object.
  11. 11. A method (600) for conducting tele -robotic radiological procedure using a robotic arm (114), the method (600) comprising: establishing a connection between a user equipment (106) of a medical professional (110) and a robotic system (112) by using a network (108); integrating the robotic system (112) located at a first location with the network (108); enabling a real-time communication between the medical professional (110) and the robotic arm (114) of the robotic system (112) by using the network (108); enabling the medical professional (110) located at a second location to use a haptic device (130) at the user equipment (106) to control a movement of the robotic arm (114) of the robotic system (112); receiving directional inputs of the medical professional (110) by using the haptic device (130) and transmitting the directional inputs in form of physical movements to the robotic arm (114) of the robotic system (112); enabling the robotic arm (114) to mimic the movements of the medical professional (110) in real time based on the directional inputs; and displaying captured images of a patient on the user equipment (106) in real time through the network (108).
  12. 12. The method (600) as claimed in claim 11, wherein the network (108) is a fifth generation (5G) network.
  13. 13. The method (600) as claimed in claim 11, wherein the haptic device (130) is associated with a Human Machine Interface (HMI) (116) of the user equipment (106) to enable the medical professional (110) to communicate with virtual environment for conducting a radiological procedure virtually.
  14. 14. The method (600) as claimed in claim 13, comprising a step of enabling the medical professional (110) to complete diagnosis in real-time or asynchronously, upon conducting the tele-robotic radiological procedure virtually.
  15. 15. The method (600) as claimed in claim 11, comprising a step of providing haptic feedback to the medical professional (110) in real-time by using the haptic device (130) while manipulating the robotic arm (114).
  16. 16. The method (600) as claimed in claim 11, comprising a step of verifying one or more components of a system (100).
  17. 17. The method (600) as claimed in claim 11, comprising a step of displaying a complete setup of the patient on the user equipment (106).
  18. 18. The method (600) as claimed in claim 11, comprising a step of managing power supply and actuation mechanism of the robotic arm (114).
  19. 19. The method (600) as claimed in claim 11, comprising a step of converting a control signal from a robotic arm controller (118) into appropriate signal for an actuator movement.
  20. 20. The method (600) as claimed in claim 11, wherein the robotic system (112) comprises a 6-degree-of-freedom positional sensing robotic arm (114) with a radiological probe and a 3 degree of freedom force feedback to provide feedback when pressed against an object.

Description

SYSTEM AND METHOD FOR CONDUCTING TELE-ROBOTIC RADIOLOGICAL PROCEDURES USING ROBOTIC ARM RESERVATION OF RIGHTS [0001] A portion of the disclosure of this patent document contains material, which is subject to intellectual property rights such as, but are not limited to, copyright, design, trademark, Integrated Circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (hereinafter referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner. FIELD OF DISCLOSURE [0002] The present disclosure relates to a field of telecommunications technology in a medical field. More precisely, the disclosure relates to a system and method for conducting radiological procedures remotely using advanced telecommunication technologies such as 5G networks. BACKGROUND OF DISCLOSURE [0003] The following description of related art is intended to provide background information pertaining to the field of the disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art. [0004] Radiology is a branch of medicine that uses an imaging technology for diagnosing and treating diseases. It consists of procedures (exams/tests) such as X-rays, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), nuclear medicine, Positron Emission Tomography (PET), ultrasound, and so forth. However, in some areas, there may be a shortage of radiologists with specialized expertise. Moreover, traditional radiology services may have limited hours of operation. Also, in traditional radiology, there may be delays in a delivery of radiology reports, especially in remote or rural areas. Further, establishing and maintaining a radiology department with all necessary equipment can be costly. Therefore, to overcome the aforementioned issues, a tele -robotic radiology has been introduced. In a first conventional approach, medical robots such as robotic systems have been used in the radiology for imaging procedures or interventions. Such medical robots have a potential to enhance the field of radiology. While these medical robots offer various advantages; however, they also have some drawbacks and limitations. [0005] As an example, the robotic systems such as, the da Vinci Surgical System have been used in the radiology for minimally invasive procedures. However, these systems have limitations as they are expensive to purchase, install, and maintain, making them less accessible to many healthcare facilities. Secondly, surgeons and radiologists need specialized training to effectively operate and utilize capabilities of the robotic systems. The learning curve can be steep, requiring dedicated time and resources for proficiency. [0006] Further, in another conventional approach, the Universal Robot UR5e, a robotic arm known for its precision and flexibility, represents a critical component in an automation of tasks including those in the medical field. Control elements such as “Teach Pendant” allow for user-friendly programming and operation of such robotic arms. Moreover, a computing hardware, including MiniPCs like the AEEON Boxer - 6643-TGU-A2-1010, provides a necessary processing power and interfacing capabilities, while 5G modules such as the Quectel- RM510QGLAA enable a high-speed transmission of data crucial for real-time remote operation. Telecommunication infrastructures for such systems, with services like private network connectivity providing requisite bandwidth and a low latency for seamless data transfer and control signal transmission between a patient and locations of a doctor. Despite the availability of various technologies, it is a significant challenge to integrate these components into a cohesive, reliable, and user-friendly system that is capable to provide high-quality radiological imaging remotely. Existing solutions often face limitations due to latency, bandwidth constraints, integration complexity, and safety concerns, which can compromise an efficacy and responsiveness of the tele-robotic system. [0007] Tele-operated or remote-controlled systems allow the radiologists to control a movement and positioning of imaging devices from a remote location. However, the remote-controlled systems rely on stable and high-bandwidth network connections for real-time transmission of imaging data. Connectivity issues can lead to delays, interruptions, or degraded image quality. The robotic systems used for image-guided interventions, such as robot-assisted biopsies or ablations, have l