[HTML][HTML] The promise of artificial intelligence and deep learning in PET and SPECT imaging
This review sets out to discuss the foremost applications of artificial intelligence (AI),
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
particularly deep learning (DL) algorithms, in single-photon emission computed tomography …
Transmorph: Transformer for unsupervised medical image registration
In the last decade, convolutional neural networks (ConvNets) have been a major focus of
research in medical image analysis. However, the performances of ConvNets may be limited …
research in medical image analysis. However, the performances of ConvNets may be limited …
Literature review of digital twin in healthcare
TM Machado, FT Berssaneti - Heliyon, 2023 - cell.com
This article aims to make a bibliometric literature review using systematic scientific mapping
and content analysis of digital twins in healthcare to know the evolution, domain, keywords …
and content analysis of digital twins in healthcare to know the evolution, domain, keywords …
[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 …
However, there is a lack of consensus on what constitutes the digital twin of a patient …
Fully automated accurate patient positioning in computed tomography using anterior–posterior localizer images and a deep neural network: a dual-center study
Objectives This study aimed to improve patient positioning accuracy by relying on a CT
localizer and a deep neural network to optimize image quality and radiation dose. Methods …
localizer and a deep neural network to optimize image quality and radiation dose. Methods …
Deep learning-assisted multiple organ segmentation from whole-body CT images
Background: Automated organ segmentation from computed tomography (CT) images
facilitates a number of clinical applications, including clinical diagnosis, monitoring of …
facilitates a number of clinical applications, including clinical diagnosis, monitoring of …
An update on computational anthropomorphic anatomical models
The prevalent availability of high-performance computing coupled with validated
computerized simulation platforms as open-source packages have motivated progress in the …
computerized simulation platforms as open-source packages have motivated progress in the …
The stochastic digital human is now enrolling for in silico imaging trials—methods and tools for generating digital cohorts
Randomized clinical trials, while often viewed as the highest evidentiary bar by which to
judge the quality of a medical intervention, are far from perfect. In silico imaging trials are …
judge the quality of a medical intervention, are far from perfect. In silico imaging trials are …
[HTML][HTML] Digital Twins for Clinical and Operational Decision-Making: Scoping Review
Background The health care industry must align with new digital technologies to respond to
existing and new challenges. Digital twins (DTs) are an emerging technology for digital …
existing and new challenges. Digital twins (DTs) are an emerging technology for digital …
Thyroid Cancer Central Lymph Node Metastasis Risk Stratification Based on Homogeneous Positioning Deep Learning
S Yao, P Shen, F Dai, L Deng, X Qiu, Y Zhao, M Gao… - Research, 2024 - spj.science.org
Due to the absence of definitive diagnostic criteria, there remains a lack of consensus
regarding the risk assessment of central lymph node metastasis (CLNM) and the necessity …
regarding the risk assessment of central lymph node metastasis (CLNM) and the necessity …