AIMC Topic: Feasibility Studies

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The feasibility to use artificial intelligence to aid detecting focal liver lesions in real-time ultrasound: a preliminary study based on videos.

Scientific reports May 11, 2022
Despite the wide availability of ultrasound machines for hepatocellular carcinoma surveillance, an inadequate number of expert radiologists performing ultrasounds in remote areas remains a primary barrier for surveillance. We demonstrated feasibility...
Liver Neoplasms Radiologists Feasibility Studies Artificial Intelligence Ultrasonography Humans
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Safety and feasibility study of non-invasive robot-assisted high-intensity focused ultrasound therapy for the treatment of atherosclerotic plaques in the femoral artery: protocol for a pilot study.

BMJ open May 2, 2022
INTRODUCTION: Peripheral arterial disease (PAD) is an atherosclerotic disease leading to stenosis and/or occlusion of the arterial circulation of the lower extremities. The currently available revascularisation methods have an acceptable initial succ...
Peripheral Arterial Disease Robotics Constriction, Pathologic Pilot Projects Lower Extremity Plaque, Atherosclerotic Femoral Artery Extracorporeal Shockwave Therapy Atherosclerosis Feasibility Studies Humans Quality of Life
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Clinical feasibility of an abdominal thin-slice breath-hold single-shot fast spin echo sequence processed using a deep learning-based noise-reduction approach.

Magnetic resonance imaging Apr 30, 2022
BACKGROUND: T2-weighted imaging (T2WI) is a key sequence of MRI studies of the pancreas. The single-shot fast spin echo (single-shot FSE) sequence is an accelerated form of T2WI. We hypothesized that denoising approach with deep learning-based recons...
Humans Deep Learning Feasibility Studies Signal-To-Noise Ratio Magnetic Resonance Imaging Breath Holding
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Socially assistive robots for people with dementia: Systematic review and meta-analysis of feasibility, acceptability and the effect on cognition, neuropsychiatric symptoms and quality of life.

Ageing research reviews Apr 21, 2022
BACKGROUND: There is increasing interest in using robots to support dementia care but little consensus on the evidence for their use. The aim of the study is to review evidence about feasibility, acceptability and clinical effectiveness of socially a...
Dementia Cognition Feasibility Studies Robotics Animals Humans Quality of Life
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Mitigating transmit-B artifacts by predicting parallel transmission images with deep learning: A feasibility study using high-resolution whole-brain diffusion at 7 Tesla.

Magnetic resonance in medicine Apr 10, 2022
PURPOSE: To propose a novel deep learning (DL) approach to transmit-B (B )-artifact mitigation without direct use of parallel transmission (pTx), by predicting pTx images from single-channel transmission (sTx) images.
Artifacts Diffusion Tensor Imaging Image Processing, Computer-Assisted Feasibility Studies Brain Deep Learning Humans
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Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.

European radiology Apr 7, 2022
OBJECTIVES: The aim of this study was to evaluate the image quality and diagnostic performance of a deep-learning (DL)-accelerated two-dimensional (2D) turbo spin echo (TSE) MRI of the knee at 1.5 and 3 T in clinical routine in comparison to standard...
Magnetic Resonance Imaging Feasibility Studies Imaging, Three-Dimensional Image Processing, Computer-Assisted Artifacts Prospective Studies Deep Learning Humans
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Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints.

IEEE transactions on cybernetics Apr 5, 2022
This article investigates the tracking control for input and full-state-constrained nonlinear time-delay systems with unknown time-varying powers, whose nonlinearities do not impose any growth assumption. By utilizing the auxiliary control signal and...
Research Design Computer Simulation Feasibility Studies Neural Networks, Computer Nonlinear Dynamics
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Feasibility of telesurgery in the modern era.

The neuroradiology journal Mar 27, 2022
Telesurgery is not a foreign concept and dates to as early as the 1920s. The use of robots in medicine has had a very positive effect and improved outcomes with little to no adverse effects. Having global access to telemedicine and telesurgery during...
COVID-19 Feasibility Studies Robotics Humans Telemedicine Pandemics
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Feasibility of a deep learning-based diagnostic platform to evaluate lower urinary tract disorders in men using simple uroflowmetry.

Investigative and clinical urology Mar 25, 2022
PURPOSE: To diagnose lower urinary tract symptoms (LUTS) in a noninvasive manner, we created a prediction model for bladder outlet obstruction (BOO) and detrusor underactivity (DUA) using simple uroflowmetry. In this study, we used deep learning to a...
Feasibility Studies Male Urinary Bladder Neck Obstruction Humans Lower Urinary Tract Symptoms Urinary Bladder Deep Learning Urodynamics Female
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A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients.

Biomedical physics & engineering express Mar 15, 2022
. The aim of this study was to assess the feasibility of the development and training of a deep learning object detection model for automating the assessment of fiducial marker migration and tracking of the prostate in radiotherapy patients.. A fiduc...
Feasibility Studies Fiducial Markers Prostatic Neoplasms Prostate Humans Male Deep Learning
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