AIMC Topic: Feasibility Studies
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Cross-camera Performance of Deep Learning Algorithms to Diagnose Common Ophthalmic Diseases: A Comparative Study Highlighting Feasibility to Portable Fundus Camera Use.
Current eye research
May 29, 2023
PURPOSE: To compare the inter-camera performance and consistency of various deep learning (DL) diagnostic algorithms applied to fundus images taken from desktop Topcon and portable Optain cameras.
Feasibility of accelerated non-contrast-enhanced whole-heart bSSFP coronary MR angiography by deep learning-constrained compressed sensing.
European radiology
May 20, 2023
OBJECTIVES: To examine a compressed sensing artificial intelligence (CSAI) framework to accelerate image acquisition in non-contrast-enhanced whole-heart bSSFP coronary magnetic resonance (MR) angiography.
Spider silk erectile nerve reconstruction in robot-assisted radical prostatectomy: a first-in-men feasibility analysis.
World journal of urology
May 17, 2023
PURPOSE: To investigate the safety and feasibility of spider silk interposition for erectile nerve reconstruction in patients undergoing robotic radical prostatectomy (RARP).
Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer.
Thoracic cancer
May 14, 2023
BACKGROUND: Radiomic diagnosis models generally consider only a single dimension of information, leading to limitations in their diagnostic accuracy and reliability. The integration of multiple dimensions of information into the deep learning model h...
The feasibility of early detecting coronary artery disease using deep learning-based algorithm based on electrocardiography.
Aging
May 1, 2023
BACKGROUND: Coronary Artery Disease (CAD) is a major cause of morbidity and mortality, yet it is frequently asymptomatic in the early stages and hence goes undetected.
[Feasibility Study of the Prediction of Radiologist's Instructions with the Bi-LSTM Model Trained with Descriptions of MR Imaging Order-statement].
Nihon Hoshasen Gijutsu Gakkai zasshi
Apr 26, 2023
PURPOSE: Magnetic resonance (MR) images provide essential diagnostic information; however, it is also a very burdensome examination for patients. At our hospital, radiologists make imaging instructions for all MR examination orders, but this is a tim...
A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study.
Physics in medicine and biology
Apr 26, 2023
. Robustness evaluation is critical in particle radiotherapy due to its susceptibility to uncertainties. However, the customary method for robustness evaluation only considers a few uncertainty scenarios, which are insufficient to provide a consisten...
ASO Author Reflections: Major Hepatectomies: Does Robotic Assistance Increase the Feasibility of the Minimally Invasive Approach?
Annals of surgical oncology
Apr 25, 2023
Day surgery unit robotics thoracic surgery: feasibility and management.
Journal of cancer research and clinical oncology
Apr 10, 2023
BACKGROUND: Day surgery has been widely carried out in medical developed countries such as Europe and the United States with high efficiency, safety and economy. The development of thoracic day surgery started late, and currently only a few top three...
Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study.
Medical physics
Mar 24, 2023
PURPOSE: The long acquisition time of CBCT discourages repeat verification imaging, therefore increasing treatment uncertainty. In this study, we present a fast volumetric imaging method for lung cancer radiation therapy using an orthogonal 2D kV/MV ...
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