AIMC Topic: Feasibility Studies

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Effects of Exoskeletal Lower Limb Robot Training on the Activities of Daily Living in Stroke Patients: Retrospective Pre-Post Comparison Using Propensity Score Matched Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 5, 2020
PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb robot called Hybrid Assistive Limb (HAL) on the function and ability to perform ADL in stroke patients. In clinical settings, we frequently find it chall...
Male Middle Aged Treatment Outcome Lower Extremity Recovery of Function Humans Retrospective Studies Female Aged Aged, 80 and over Feasibility Studies Activities of Daily Living Propensity Score Exoskeleton Device Stroke Rehabilitation Robotics Disability Evaluation Equipment Design Stroke Gait
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Improved patient satisfaction and diagnostic accuracy in skin diseases with a Visual Clinical Decision Support System-A feasibility study with general practitioners.

PloS one Jul 29, 2020
Patient satisfaction is an important indicator of health care quality, and it remains an important goal for optimal treatment outcomes to reduce the level of misdiagnoses and inappropriate or absent therapeutic actions. Digital support tools for diff...
Patient Compliance Referral and Consultation Expert Systems Patient Satisfaction Male General Practitioners Middle Aged Humans Decision Support Systems, Clinical Female Feasibility Studies Adult Skin Diseases Diagnostic Errors
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Feasibility of Multiparametric Positron Emission Tomography/Magnetic Resonance Imaging as a One-Stop Shop for Radiation Therapy Planning for Patients with Head and Neck Cancer.

International journal of radiation oncology, biology, physics Jul 16, 2020
PURPOSE: Multiparametric positron emission tomography (PET)/magnetic resonance imaging (MRI) as a one-stop shop for radiation therapy (RT) planning has great potential but is technically challenging. We studied the feasibility of performing multipara...
Radiotherapy Dosage Patient Positioning Radiotherapy, Computer-Assisted Tomography, X-Ray Computed Feasibility Studies Deep Learning Radiopharmaceuticals Head and Neck Neoplasms Positron-Emission Tomography Magnetic Resonance Imaging Fluorodeoxyglucose F18 Multimodal Imaging Humans Neural Networks, Computer Prospective Studies
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Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.

The international journal of cardiovascular imaging Jul 16, 2020
To investigate the performance of a deep learning-based algorithm for fully automated quantification of left ventricular (LV) volumes and function in cardiac MRI. We retrospectively analysed MR examinations of 50 patients (74% men, median age 57 year...
Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Ventricular Function, Left Middle Aged Diagnosis, Computer-Assisted Humans Retrospective Studies Deep Learning Heart Ventricles Adolescent Heart Diseases Predictive Value of Tests Image Interpretation, Computer-Assisted Feasibility Studies Automation Magnetic Resonance Imaging, Cine
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Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRI.

The Laryngoscope Jul 13, 2020
OBJECTIVES: To investigate whether a radiomic MRI feature-based prediction model can differentiate oropharyngeal squamous cell carcinoma (SCC) according to the human papillomavirus (HPV) status.
Logistic Models Squamous Cell Carcinoma of Head and Neck Magnetic Resonance Imaging Predictive Value of Tests Male Oropharyngeal Neoplasms Humans Feasibility Studies Middle Aged Alphapapillomavirus ROC Curve Machine Learning Papillomavirus Infections Retrospective Studies Female Aged
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Feasibility of a 5G-Based Robot-Assisted Remote Ultrasound System for Cardiopulmonary Assessment of Patients With Coronavirus Disease 2019.

Chest Jul 9, 2020
BACKGROUND: Traditional methods for cardiopulmonary assessment of patients with coronavirus disease 2019 (COVID-19) pose risks to both patients and examiners. This necessitates a remote examination of such patients without sacrificing information qua...
Robotics Feasibility Studies Lung Diseases Heart Diseases Humans COVID-19 Retrospective Studies Female Aged Aged, 80 and over Adult Male Middle Aged Ultrasonography
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Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.

Journal of forensic sciences Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Female Aged Aged, 80 and over Young Adult Adult Humans Neural Networks, Computer Brain Tomography, X-Ray Computed Feasibility Studies Forensic Medicine Autopsy Craniocerebral Trauma Male Middle Aged Case-Control Studies Deep Learning Adolescent
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Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery.

Medical physics Jul 8, 2020
PURPOSE: Robotic radiosurgery offers the flexibility of a robotic arm to enable high conformity to the target and a steep dose gradient. However, treatment planning becomes a computationally challenging task as the search space for potential beam dir...
Humans Robotics Robotic Surgical Procedures Feasibility Studies Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery
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Using diffusion tensor imaging to detect cortical changes in fronto-temporal dementia subtypes.

Scientific reports Jul 8, 2020
Fronto-temporal dementia (FTD) is a common type of presenile dementia, characterized by a heterogeneous clinical presentation that includes three main subtypes: behavioural-variant FTD, non-fluent/agrammatic variant primary progressive aphasia and se...
Middle Aged Case-Control Studies Cohort Studies Diagnosis, Differential Feasibility Studies Frontotemporal Dementia Image Interpretation, Computer-Assisted Gray Matter Cerebral Cortex Diffusion Tensor Imaging Humans Machine Learning Female Aged Male
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Deep learning based detection of intracranial aneurysms on digital subtraction angiography: A feasibility study.

The neuroradiology journal Jul 7, 2020
BACKGROUND: Digital subtraction angiography is the gold standard for detecting and characterising aneurysms. Here, we assess the feasibility of commercial-grade deep learning software for the detection of intracranial aneurysms on whole-brain anterop...
Humans Angiography, Digital Subtraction Cerebral Angiography Intracranial Aneurysm Adult Male Middle Aged Deep Learning Software Feasibility Studies Female Aged Aged, 80 and over
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