AIMC Topic: Humans

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Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 25, 2019
BACKGROUND: The purpose/aim of this study was to 1) use magnetic resonance diffusion tensor imaging (DTI), fibre bundle/tract-based spatial statistics (TBSS) and machine learning methods to study changes in the white matter (WM) structure and whole b...
Dose Fractionation, Radiation Radiation Injuries Nasopharyngeal Carcinoma Diffusion Tensor Imaging Brain Injuries Radiotherapy, Conformal White Matter Anisotropy Machine Learning Brain Female Reproducibility of Results Adult Male Middle Aged ROC Curve Humans
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Physician Confidence in Artificial Intelligence: An Online Mobile Survey.

Journal of medical Internet research Mar 25, 2019
BACKGROUND: It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future.
Female Male Surveys and Questionnaires Mobile Applications Humans Artificial Intelligence Physicians
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Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape.

Journal of the American Society of Cytopathology Mar 25, 2019
Artificial intelligence (AI) has made impressive strides recently in interpreting complex images, thanks to improvements in deep learning techniques and increasing computational power. Researchers have started applying these advanced techniques to pa...
Biopsy, Fine-Needle Vaginal Smears Computational Biology Cytodiagnosis Humans Female Neoplasms Deep Learning Decision Support Systems, Clinical Papanicolaou Test
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EMG Muscle Activation Pattern of Four Lower Extremity Muscles during Stair Climbing, Motor Imagery, and Robot-Assisted Stepping: A Cross-Sectional Study in Healthy Individuals.

BioMed research international Mar 25, 2019
BACKGROUND: Stair climbing can be a challenging part of daily life and a limiting factor for social participation, in particular for patients after stroke. In order to promote motor relearning of stair climbing, different therapeutical measures can b...
Quadriceps Muscle Humans Walking Robotics Cross-Sectional Studies Physical Therapy Modalities Female Electromyography Male Stair Climbing Aged Middle Aged Lower Extremity
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The Role of a Decision Support System in Back Pain Diagnoses: A Pilot Study.

BioMed research international Mar 25, 2019
It is the main goal of this study to investigate the concordance of a decision support system and the recommendation of spinal surgeons regarding back pain. 111 patients had to complete the decision support system. Furthermore, their illness was diag...
Aged, 80 and over Adult Male Humans Middle Aged Diagnosis, Computer-Assisted Clinical Decision-Making Pilot Projects Female Expert Systems Aged Back Pain
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A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.

Computational and mathematical methods in medicine Mar 25, 2019
This study reviews the technique of convolutional neural network (CNN) applied in a specific field of mammographic breast cancer diagnosis (MBCD). It aims to provide several clues on how to use CNN for related tasks. MBCD is a long-standing problem, ...
Mammography Radiographic Image Interpretation, Computer-Assisted Mathematical Computing Female Breast Neoplasms Computational Biology Humans Neural Networks, Computer Machine Learning Computer Simulation
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Early experience with Watson for oncology in Korean patients with colorectal cancer.

PloS one Mar 25, 2019
BACKGROUND: Watson for oncology (WFO) is a cognitive computing system providing decision support. We evaluated the concordance rates between the treatment options determined by WFO and those determined by a multidisciplinary team (MDT).
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Software Algorithms Computers Retrospective Studies Republic of Korea Female Reproducibility of Results Humans Decision Support Systems, Clinical Treatment Outcome Neoplasm Staging Expert Systems Medical Oncology Aged Practice Guidelines as Topic Colorectal Neoplasms Aged, 80 and over Patient Care Team Male Adult Interdisciplinary Communication Middle Aged User-Computer Interface
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Real-time gastric polyp detection using convolutional neural networks.

PloS one Mar 25, 2019
Computer-aided polyp detection in gastric gastroscopy has been the subject of research over the past few decades. However, despite significant advances, automatic polyp detection in real time is still an unsolved problem. In this paper, we report on ...
Adenomatous Polyps Stomach Neoplasms Humans Male Neural Networks, Computer Image Processing, Computer-Assisted Female Gastroscopy
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Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net.

Ultrasonics Mar 23, 2019
A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in IntraVascular UltraSound (IVUS) frames, which is crucial for diagnosis of many ca...
Humans Algorithms Reproducibility of Results Coronary Vessels Image Enhancement Deep Learning Ultrasonography, Interventional Image Interpretation, Computer-Assisted Artifacts
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3D whole brain segmentation using spatially localized atlas network tiles.

NeuroImage Mar 23, 2019
Detailed whole brain segmentation is an essential quantitative technique in medical image analysis, which provides a non-invasive way of measuring brain regions from a clinical acquired structural magnetic resonance imaging (MRI). Recently, deep conv...
Humans Brain Magnetic Resonance Imaging Deep Learning Neuroimaging Imaging, Three-Dimensional Atlases as Topic Image Processing, Computer-Assisted
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