English
Related papers

Related papers: A Digital Twin for Robotic Post Mortem Tissue Samp…

200 papers

In pathology and legal medicine, the histopathological and microbiological analysis of tissue samples from infected deceased is a valuable information for developing treatment strategies during a pandemic such as COVID-19. However, a…

Tissue biopsy is the gold standard for diagnosing many diseases, involving the extraction of diseased tissue for histopathology analysis by expert pathologists. However, this procedure has two main limitations: 1) Manual sampling through…

Robotics · Computer Science 2025-09-03 Fanxin Wang , Yikun Cheng , Chuyuan Tao , Rohit Bhargava , Thenkurussi Kesavadas

Digital twins are virtual systems designed to predict how a real-world process will evolve in response to interventions. This modelling paradigm holds substantial promise in many applications, but rigorous procedures for assessing their…

Methodology · Statistics 2023-11-03 Rob Cornish , Muhammad Faaiz Taufiq , Arnaud Doucet , Chris Holmes

The diagnostic value of biopsies is highly dependent on the placement of needles. Robotic trajectory guidance has been shown to improve needle positioning, but feedback for real-time navigation is limited. Haptic display of needle tip…

Automating a robotic task, e.g., robotic suturing can be very complex and time-consuming. Learning a task model to autonomously perform the task is invaluable making the technology, robotic surgery, accessible for a wider community. The…

Robotics · Computer Science 2021-03-16 Amir Ghalamzan-E

A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-guided biopsy is often preferred. The lack of real-time imaging…

Quantifying the uncertainty in predictive models is critical for establishing trust and enabling risk-informed decision making for personalized medicine. In contrast to one-size-fits-all approaches that seek to mitigate risk at the…

Computational Engineering, Finance, and Science · Computer Science 2025-05-15 Graham Pash , Umberto Villa , David A. Hormuth , Thomas E. Yankeelov , Karen Willcox

A digital twin is a virtual replica of a real-world physical phenomena that uses mathematical modeling to characterize and simulate its defining features. By constructing digital twins for disease processes, we can perform in-silico…

Machine Learning · Computer Science 2024-11-04 Keying Kuang , Frances Dean , Jack B. Jedlicki , David Ouyang , Anthony Philippakis , David Sontag , Ahmed M. Alaa

Many minimally invasive procedures, such as core needle biopsy of focal liver lesions, nerve blocks, and fetal and vascular interventions, are typically performed under ultrasound guidance, which provides real-time, high-resolution…

Virtual Reality has become an important educational tool, due to the pandemic and increasing globalization of education. This paper presents a framework for teaching Virtual Anatomy at the university level. Virtual classes have become a…

Human-Computer Interaction · Computer Science 2022-03-07 Joaquim Jorge , Pedro Belchior , Abel Gomes , Maurício Sousa , João Pereira , Jean-François Uhl

This paper describes the design, manufacture, and performance of a highly dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided percutaneous needle biopsy. Direct CT guidance allows physicians to localize tumours…

Robotics · Computer Science 2022-03-18 Dimitri A. Schreiber , Daniel B. Shak , Alexander M. Norbash , Michael C. Yip

Robotic surgery imposes a significant cognitive burden on the surgeon. This cognitive burden increases in the case of remote robotic surgeries due to latency between entities and thus might affect the quality of surgery. Here, the patient…

Digital Twins technology is revolutionizing decision-making in scientific research by integrating models and simulations with real-time data. Unlike traditional Structural Health Monitoring methods, which rely on computationally intensive…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Mehrdad Shafiei Dizaji

Surgery digitalization is the process of creating a virtual replica of real-world surgery, also referred to as a surgical digital twin (SDT). It has significant applications in various fields such as education and training, surgical…

The emergence of real-time 3D ultrasound (US) makes it possible to consider image-based tracking of subcutaneous soft tissue targets for computer guided diagnosis and therapy. We propose a 3D transrectal US based tracking system for precise…

Other Computer Science · Computer Science 2008-01-17 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

Purpose: Digital twins are virtual interactive models of the real world, exhibiting identical behavior and properties. In surgical applications, computational analysis from digital twins can be used, for example, to enhance situational…

A digital health twin can be defined as a virtual model of a physical person, in this specific case, a patient. This virtual model is constituted by multidimensional data that can host from clinical, molecular and therapeutic parameters to…

Computers and Society · Computer Science 2022-12-02 Manuel Cossio

Percutaneous needle insertions are commonly performed for diagnostic and therapeutic purposes as an effective alternative to more invasive surgical procedures. However, the outcome of needle-based approaches relies heavily on the accuracy…

Robotics · Computer Science 2023-12-01 Yanzhou Wang , Lidia Al-Zogbi , Guanyun Liu , Jiawei Liu , Junichi Tokuda , Axel Krieger , Iulian Iordachita

: Introduction-objectives: A virtual-reality learning environment dedicated to prostate biopsies was designed to overcome the limitations of current classical teaching methods. The aim of this study was to validate reliability, face,…

Computers and Society · Computer Science 2013-11-05 Gaelle Fiard , Sonia-Yuki Selmi , Emmanuel Promayon , Lucile Vadcard , Jean-Luc Descotes , Jocelyne Troccaz

In developing medical interventions using untethered milli- and microrobots, ensuring safety and effectiveness relies on robust methods for detection, real-time tracking, and precise localization within the body. However, the inherent…

Robotics · Computer Science 2024-09-16 Husnu Halid Alabay , Tuan-Anh Le , Hakan Ceylan
‹ Prev 1 2 3 10 Next ›