AIMC Topic: Feasibility Studies

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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...
Humans Machine Learning Image Interpretation, Computer-Assisted Gray Matter Cerebral Cortex Diffusion Tensor Imaging Case-Control Studies Cohort Studies Diagnosis, Differential Feasibility Studies Female Frontotemporal Dementia Aged Male Middle Aged
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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...
Feasibility Studies Angiography, Digital Subtraction Cerebral Angiography Intracranial Aneurysm Adult Humans Male Software Middle Aged Female Deep Learning Aged Aged, 80 and over
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Automated spheroid generation, drug application and efficacy screening using a deep learning classification: a feasibility study.

Scientific reports Jul 6, 2020
The last two decades saw the establishment of three-dimensional (3D) cell cultures as an acknowledged tool to investigate cell behaviour in a tissue-like environment. Cells growing in spheroids differentiate and develop different characteristics in c...
Humans Drug Screening Assays, Antitumor Pharmaceutical Preparations Feasibility Studies Tumor Cells, Cultured Spheroids, Cellular Neural Networks, Computer Neoplasms Deep Learning Cell Survival
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A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.

Journal of the American Academy of Dermatology Jun 23, 2020
Image Interpretation, Computer-Assisted False Negative Reactions Proof of Concept Study Frozen Sections Mohs Surgery Deep Learning Pilot Projects ROC Curve Skin Feasibility Studies Humans Retrospective Studies Skin Neoplasms Carcinoma, Basal Cell
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Trace2trace-A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.

Sensors (Basel, Switzerland) Jun 21, 2020
Neural machine translation is a prominent field in the computational linguistics domain. By leveraging the recent developments of deep learning, it gave birth to powerful algorithms for translating text from one language to another. This study aims t...
Humans Neural Networks, Computer Machine Learning Algorithms Feasibility Studies Movement Human Activities
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The ReWalk ReStore™ soft robotic exosuit: a multi-site clinical trial of the safety, reliability, and feasibility of exosuit-augmented post-stroke gait rehabilitation.

Journal of neuroengineering and rehabilitation Jun 18, 2020
BACKGROUND: Atypical walking in the months and years after stroke constrain community reintegration and reduce mobility, health, and quality of life. The ReWalk ReStore™ is a soft robotic exosuit designed to assist the propulsion and ground clearance...
Female Paresis Humans Quality of Life Reproducibility of Results Exoskeleton Device Robotics Adult Physical Therapy Modalities Stroke Male Stroke Rehabilitation Feasibility Studies Middle Aged Gait Disorders, Neurologic
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Deep learning-based survival prediction for multiple cancer types using histopathology images.

PloS one Jun 17, 2020
Providing prognostic information at the time of cancer diagnosis has important implications for treatment and monitoring. Although cancer staging, histopathological assessment, molecular features, and clinical variables can provide useful prognostic ...
Neoplasms Deep Learning Image Processing, Computer-Assisted Age Factors Adult Humans Neoplasm Staging Male Prognosis Feasibility Studies Middle Aged Female Sex Factors Risk Assessment Risk Factors Survival Analysis Datasets as Topic
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A Novel Robotic Endoscopic Device Used for Operative Hysteroscopy.

Journal of minimally invasive gynecology Jun 12, 2020
To trial the use of a novel endoscopic robot that functions using concentric tube robots, enabling 2-handed surgery in small spaces, in a bioengineering laboratory. This was a feasibility study of the endoscopic robot for hysteroscopic applications, ...
Feasibility Studies Inventions Models, Animal Hysteroscopy Polyps Gynatresia Intrauterine Devices Uterine Diseases Swine Robotics Robotic Surgical Procedures Device Removal Humans Female Endoscopy Animals
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Altered resting-state functional connectivity and effective connectivity of the habenula in irritable bowel syndrome: A cross-sectional and machine learning study.

Human brain mapping Jun 3, 2020
Irritable bowel syndrome (IBS) is a disorder involving dysfunctional brain-gut interactions characterized by chronic recurrent abdominal pain, altered bowel habits, and negative emotion. Previous studies have linked the habenula to the pathophysiolog...
Male Middle Aged Support Vector Machine Magnetic Resonance Imaging Feasibility Studies Female Young Adult Adult Cross-Sectional Studies Dorsolateral Prefrontal Cortex Periaqueductal Gray Habenula Pain Connectome Thalamus Irritable Bowel Syndrome Humans
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Multi-instance Deep Learning of Ultrasound Imaging Data for Pattern Classification of Congenital Abnormalities of the Kidney and Urinary Tract in Children.

Urology May 20, 2020
OBJECTIVE: To reliably and quickly diagnose children with posterior urethral valves (PUV), we developed a multi-instance deep learning method to automate image analysis.
Male Infant Case-Control Studies Deep Learning Ultrasonography Humans Image Interpretation, Computer-Assisted Female Vesico-Ureteral Reflux Infant, Newborn Hydronephrosis ROC Curve Reproducibility of Results Urethra Urogenital Abnormalities Kidney Diagnosis, Differential Feasibility Studies
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