AIMC Topic: Feasibility Studies

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Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.

European radiology Apr 16, 2019
PURPOSE: To study the feasibility of automatically identifying normal digital mammography (DM) exams with artificial intelligence (AI) to reduce the breast cancer screening reading workload.
False Negative Reactions False Positive Reactions Radiologists Workload Feasibility Studies Probability Humans Artificial Intelligence Female Mass Screening Early Detection of Cancer Mammography Breast Neoplasms ROC Curve
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Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines.

Scientific reports Apr 15, 2019
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n...
Humans Retrospective Studies ROC Curve Support Vector Machine Magnetic Resonance Imaging Radiologists Lumbar Vertebrae Female Aged Male Middle Aged Hematologic Diseases Bone Marrow Feasibility Studies Image Interpretation, Computer-Assisted Datasets as Topic
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Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Psychotherapy (Chicago, Ill.) Apr 8, 2019
Direct observation of psychotherapy and providing performance-based feedback is the gold-standard approach for training psychotherapists. At present, this requires experts and training human coding teams, which is slow, expensive, and labor intensive...
Female Humans Feasibility Studies Feedback, Psychological Adult Motivational Interviewing Male Machine Learning Clinical Competence Mental Disorders
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Algorithms Prognosis Female Aged Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Hip Fractures False Negative Reactions Radiography, Abdominal Male Middle Aged Deep Learning ROC Curve Humans Neural Networks, Computer
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LUADpp: an effective prediction model on prognosis of lung adenocarcinomas based on somatic mutational features.

BMC cancer Mar 22, 2019
BACKGROUND: Lung adenocarcinoma is the most common type of lung cancers. Whole-genome sequencing studies disclosed the genomic landscape of lung adenocarcinomas. however, it remains unclear if the genetic alternations could guide prognosis prediction...
Computational Biology Support Vector Machine Mutation Feasibility Studies Biomarkers, Tumor Datasets as Topic Models, Biological Humans ROC Curve Adenocarcinoma of Lung Precision Medicine Survival Analysis Lung Neoplasms Prognosis Genomics Survival Rate
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Sleep staging from single-channel EEG with multi-scale feature and contextual information.

Sleep & breathing = Schlaf & Atmung Mar 12, 2019
PURPOSE: Portable sleep monitoring devices with less-attached sensors and high-accuracy sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to propose a single-channel EEG sleep staging model, SleepStageNet, which e...
Male Neural Networks, Computer Polysomnography Humans Female Middle Aged Aged Sleep Stages Electroencephalography Adult Feasibility Studies
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Feasibility of support vector machine learning in age-related macular degeneration using small sample yielding sparse optical coherence tomography data.

Acta ophthalmologica Mar 6, 2019
PURPOSE: A retrospective pilot study is conducted to demonstrate the utility of a novel support vector machine learning (SVML) algorithm in a small three-dimensional (3D) sample yielding sparse optical coherence tomography (spOCT) data for the automa...
Prognosis Follow-Up Studies Retrospective Studies Humans Tomography, Optical Coherence Female Algorithms Feasibility Studies Time Factors Aged Male Macula Lutea ROC Curve Aged, 80 and over Middle Aged Imaging, Three-Dimensional Wet Macular Degeneration Disease Progression Support Vector Machine Pilot Projects
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Left ventricle segmentation in the era of deep learning.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Mar 4, 2019
Image Processing, Computer-Assisted Feasibility Studies Heart Ventricles Deep Learning Tomography, Emission-Computed, Single-Photon
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Feasibility of simple machine learning approaches to support detection of non-glaucomatous visual fields in future automated glaucoma clinics.

Eye (London, England) Mar 4, 2019
OBJECTIVES: To assess the performance of feed-forward back-propagation artificial neural networks (ANNs) in detecting field defects caused by pituitary disease from among a glaucomatous population.
Machine Learning Humans Feasibility Studies Neural Networks, Computer Visual Fields Glaucoma Visual Field Tests
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A Battery-Powered Ankle Exoskeleton Improves Gait Mechanics in a Feasibility Study of Individuals with Cerebral Palsy.

Annals of biomedical engineering Mar 1, 2019
Neuromuscular impairment associated with cerebral palsy (CP) often leads to life-long walking deficits. Our goal was to evaluate the ability of a novel untethered wearable ankle exoskeleton to reduce the severity of gait pathology from CP. In this cl...
Wireless Technology Cerebral Palsy Ankle Joint Ankle Orthotic Devices Robotics Electromyography Gait Feasibility Studies Humans Female Young Adult Adult Child, Preschool Child Biomechanical Phenomena Muscle, Skeletal Male
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