Digital twins in healthcare: Applications, technologies, simulations, and future trends

M Abd Elaziz, MAA Al‐qaness, A Dahou… - … : Data Mining and …, 2024 - Wiley Online Library
The healthcare industry has witnessed significant interest in applying DTs (DTs), due to
technological advancements. DTs are virtual replicas of physical entities that adapt to real …

[HTML][HTML] Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review

D Drummond, A Gonsard - Journal of Medical Internet Research, 2024 - jmir.org
Background The concept of digital twins, widely adopted in industry, is entering health care.
However, there is a lack of consensus on what constitutes the digital twin of a patient …

Fully immersive virtual reality for skull-base surgery: surgical training and beyond

A Munawar, Z Li, N Nagururu, D Trakimas… - International journal of …, 2024 - Springer
Purpose A virtual reality (VR) system, where surgeons can practice procedures on virtual
anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully …

Human-in-the-loop embodied intelligence with interactive simulation environment for surgical robot learning

Y Long, W Wei, T Huang, Y Wang… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Surgical robot automation has attracted increasing research interest over the past decade,
expecting its potential to benefit surgeons, nurses and patients. Recently, the learning …

A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges

MD Xames, TG Topcu - IEEE Access, 2024 - ieeexplore.ieee.org
Using the PRISMA approach, we present the first systematic literature review of digital twin
(DT) research in healthcare systems (HSs). This endeavor stems from the pressing need for …

[HTML][HTML] Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding

H Ding, L Seenivasan, BD Killeen, SM Cho… - Artificial Intelligence …, 2024 - oaepublish.com
Surgical data science is devoted to enhancing the quality, safety, and efficacy of
interventional healthcare. While the use of powerful machine learning algorithms is …

Advanced tumor electric fields therapy: A review of innovative research and development and prospect of application in glioblastoma

J Lan, Y Liu, J Chen, H Liu, Y Feng… - CNS Neuroscience & …, 2024 - Wiley Online Library
Background Glioblastoma multiforme (GBM) is an aggressive malignant tumor with a high
mortality rate and is the most prevalent primary intracranial tumor that remains incurable …

Creating a Digital Twin of Spinal Surgery: A Proof of Concept

J Hein, F Giraud, L Calvet, A Schwarz… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Digital twin assisted surgery, concept, opportunities, and challenges

L Asciak, J Kyeremeh, X Luo, A Kazakidi… - npj Digital …, 2025 - nature.com
Computer-assisted surgery is becoming essential in modern medicine to accurately plan,
guide, and perform surgeries. Similarly, Digital Twin technology is expected to be …

Tatoo: vision-based joint tracking of anatomy and tool for skull-base surgery

Z Li, H Shu, R Liang, A Goodridge, M Sahu… - International Journal of …, 2023 - Springer
Purpose Tracking the 3D motion of the surgical tool and the patient anatomy is a
fundamental requirement for computer-assisted skull-base surgery. The estimated motion …