[go: up one dir, main page]

Cao et al., 2025 - Google Patents

A Review of Critical Deep Learning-Based Image Guidance Technologies for Surgical Robots

Cao et al., 2025

Document ID
763780117882555312
Author
Cao Y
Zhang J
Li H
Ren B
Zhao Y
Gao C
Zhou Y
Publication year
Publication venue
IEEE/ASME Transactions on Mechatronics

External Links

Snippet

Despite significant advancements in the medical field, surgical robots still exhibit limited autonomy. Image guidance techniques are widely regarded as a key pathway toward achieving full automation in surgical robotics, and deep learning (DL) has further …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3437—Medical simulation or modelling, e.g. simulating the evolution of medical disorders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3418—Telemedicine, e.g. remote diagnosis, remote control of instruments or remote monitoring of patient carried devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/3406—Local monitoring or local control of medical devices, e.g. configuration parameters, graphical user interfaces [GUI] or dedicated hardware interfaces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Health care, e.g. hospitals; Social work
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/41—Medical
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves

Similar Documents

Publication Publication Date Title
Liu et al. Evolution of surgical robot systems enhanced by artificial intelligence: a review
Vercauteren et al. Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
Seetohul et al. Augmented reality (AR) for surgical robotic and autonomous systems: state of the art, challenges, and solutions
Bi et al. Machine learning in robotic ultrasound imaging: Challenges and perspectives
WO2024064997A1 (en) System and method for coronary vascular diagnosis and prognosis with a biomechanical stress profiling index
Wang et al. Neural radiance fields in medical imaging: Challenges and next steps
Li et al. Rl-tee: Autonomous probe guidance for transesophageal echocardiography based on attention-augmented deep reinforcement learning
KR20240055167A (en) IMAGE-BASEd PROBE POSITIONING
Lin et al. Modern image-guided surgery: a narrative review of medical image processing and visualization
Halabi et al. Virtual and augmented reality in surgery
Han et al. Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions
Ding et al. Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
Wu et al. Ai-enhanced virtual reality in medicine: A comprehensive survey
Killeen et al. In silico simulation: a key enabling technology for next-generation intelligent surgical systems
Shelke et al. Augmented reality and virtual reality transforming spinal imaging landscape: a feasibility study
EP3759684B1 (en) Constrained object correction for a segmented image
Carpenter et al. Computer vision in surgical operating theatre and medical imaging
Han et al. A review on organ deformation modeling approaches for reliable surgical navigation using augmented reality
Heunis et al. Real-time multi-modal sensing and feedback for catheterization in porcine tissue
Zeng et al. A review: artificial intelligence in image-guided spinal surgery
Rudnicka et al. Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology
Mangalote et al. A comprehensive study to learn the impact of augmented reality and haptic interaction in ultrasound-guided percutaneous liver biopsy training and education
Fried et al. Landmark based bronchoscope localization for needle insertion under respiratory deformation
Cao et al. A Review of Critical Deep Learning-Based Image Guidance Technologies for Surgical Robots
Vidal et al. Principles and Applications of Medical Virtual Environments.