AIMC Topic: Feasibility Studies

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Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images.
Adult Male Middle Aged ROC Curve Image Processing, Computer-Assisted Area Under Curve Feasibility Studies Thorax Female Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer Rib Fractures Tomography, X-Ray Computed
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Treadmill-Based Locomotor Training With Robotic Pelvic Assist and Visual Feedback: A Feasibility Study.

Journal of neurologic physical therapy : JNPT Jul 1, 2020
BACKGROUND AND PURPOSE: Gait asymmetries are common after stroke, and often persist despite conventional rehabilitation. Robots provide training at a greater practice frequency than conventional approaches. However, prior studies of have found the tr...
Male Middle Aged Robotics Exercise Test Humans Female Aged Adult Stroke Physical Therapy Modalities Gait Stroke Rehabilitation Feasibility Studies Gait Disorders, Neurologic Exercise Therapy Feedback, Sensory
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[Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jun 25, 2020
To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI). This study was registered in ...
Humans Neural Networks, Computer Feasibility Studies Models, Biological Rectal Neoplasms Margins of Excision Computer Simulation Risk Assessment Neoadjuvant Therapy Magnetic Resonance Imaging
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Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics Feb 26, 2020
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...
Models, Psychological Home Care Services Social Behavior Self-Help Devices Communication Devices for People with Disabilities Child Behavior Robotics Feasibility Studies Supervised Machine Learning Cues Precision Medicine Humans User-Computer Interface Algorithms Child Autism Spectrum Disorder Models, Theoretical
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Natural language processing for structuring clinical text data on depression using UK-CRIS.

Evidence-based mental health Feb 1, 2020
BACKGROUND: Utilisation of routinely collected electronic health records from secondary care offers unprecedented possibilities for medical science research but can also present difficulties. One key issue is that medical information is presented as ...
United Kingdom Depressive Disorder Models, Statistical Natural Language Processing Feasibility Studies Data Mining Humans Electronic Health Records Depression
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Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images.

Diseases of the colon and rectum Feb 1, 2020
BACKGROUND: High-resolution MRI is regarded as the best method to evaluate whether there is an involved circumferential resection margin in rectal cancer.
Humans Neural Networks, Computer Neoplasm Staging Feasibility Studies Margins of Excision Rectal Neoplasms Male Artificial Intelligence Image Enhancement Middle Aged Retrospective Studies Incidence Female Magnetic Resonance Imaging Aged
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Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

Investigative radiology Feb 1, 2020
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposterior (AP) and lateral elbow radiographs for the automated detection of pediatric supracondylar fractur...
Feasibility Studies Elbow Injuries Area Under Curve Radiography Elbow Radiographic Image Interpretation, Computer-Assisted Algorithms Retrospective Studies Reproducibility of Results Sensitivity and Specificity Deep Learning Child ROC Curve Fractures, Bone Humans Neural Networks, Computer
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Safety and feasibility of arterial wall targeting with robot-assisted high intensity focused ultrasound: a preclinical study.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group Jan 1, 2020
PURPOSE: High-intensity focused ultrasound (HIFU) is a potential noninvasive thermal ablation method for the treatment of peripheral artery disease. Dual-mode ultrasound arrays (DMUA) offer the possibility of simultaneous imaging and treatment. In th...
Arteries Animals Transducers Swine High-Intensity Focused Ultrasound Ablation Robotics Feasibility Studies
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Realizing the Potential of Robotics for Aged Care Through Co-Creation.

Journal of Alzheimer's disease : JAD Jan 1, 2020
Socially assistive robots have the potential to improve aged care by providing assistance through social interaction. While some evidence suggests a positive impact of social robots on measures of well-being, the adoption of robotic technology remain...
Education Aged Aging Pilot Projects Robotics Feasibility Studies Humans British Columbia Congresses as Topic Social Interaction
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Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.

Abdominal radiology (New York) Jan 1, 2020
PURPOSE: To develop a deep convolutional neural network (CNN) model to categorize multiphase CT and MRI liver observations using the liver imaging reporting and data system (LI-RADS) (version 2014).
Reproducibility of Results Pilot Projects Magnetic Resonance Imaging Liver Humans Neural Networks, Computer Tomography, X-Ray Computed Radiology Information Systems Feasibility Studies Image Interpretation, Computer-Assisted Datasets as Topic Liver Diseases
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