AIMC Topic: Feasibility Studies

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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...
Breath Holding Humans Deep Learning Feasibility Studies Signal-To-Noise Ratio Magnetic Resonance Imaging
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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...
Animals Quality of Life Humans Robotics Feasibility Studies Dementia Cognition
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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.
Humans Artifacts Diffusion Tensor Imaging Image Processing, Computer-Assisted Feasibility Studies Brain Deep Learning
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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...
Prospective Studies Magnetic Resonance Imaging Deep Learning Feasibility Studies Humans Artifacts Imaging, Three-Dimensional Image Processing, Computer-Assisted
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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...
Computer Simulation Feasibility Studies Nonlinear Dynamics Neural Networks, Computer Research Design
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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...
Feasibility Studies Telemedicine COVID-19 Humans Robotics 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...
Male Deep Learning Humans Female Urinary Bladder Neck Obstruction Feasibility Studies Urinary Bladder Urodynamics Lower Urinary Tract Symptoms
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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 Male Deep Learning Humans
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The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer.

Journal of applied clinical medical physics Mar 9, 2022
PURPOSE: To develop a 3D-Unet dose prediction model to predict the three-dimensional dose distribution of volumetric modulated arc therapy (VMAT) for cervical cancer and test the dose prediction performance of the model in endometrial cancer to explo...
Female Uterine Cervical Neoplasms Humans Radiotherapy, Intensity-Modulated Endometrial Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Deep Learning Radiotherapy Dosage Feasibility Studies
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Technical Feasibility of Supervision of Stretching Exercises by a Humanoid Robot Coach for Chronic Low Back Pain: The R-COOL Randomized Trial.

BioMed research international Mar 9, 2022
Adherence to exercise programs for chronic low back pain (CLBP) is a major issue. The R-COOL feasibility study evaluated humanoid robot supervision of exercise for CLBP. Aims are as follows: (1) compare stretching sessions between the robot and a phy...
Single-Blind Method Feasibility Studies Exercise Low Back Pain Exercise Therapy Humans Robotics Chronic Pain Prospective Studies
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