AIMC Topic: Humans

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Engagement and experience of older people with socially assistive robots in home care.

Assistive technology : the official journal of RESNA May 7, 2019
Social isolation is one of the most common consequences of older people with dementia, especially for those who live at their own dwellings alone due to limited access to social activities. Research relating to the use of social robots in aged care h...
Humans Aged Robotics Home Care Services Social Behavior Social Interaction
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Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning.

IEEE transactions on pattern analysis and machine intelligence May 7, 2019
Face hallucination is a domain-specific super-resolution problem that aims to generate a high-resolution (HR) face image from a low-resolution (LR) input. In contrast to the existing patch-wise super-resolution models that divide a face image into re...
Face Humans Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning
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Paperwork.

Health communication May 7, 2019
Healthcare today provides an especially rich context for the intertwined transformation of work and the technologies of work, which need to be understood in tandem. Advances in artificial intelligence, robotics, the internet of things, and computatio...
Humans Artificial Intelligence Delivery of Health Care Communication
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Comparison of robot-assisted modified radical neck dissection using a bilateral axillary breast approach with a conventional open procedure after propensity score matching.

Surgical endoscopy May 7, 2019
BACKGROUND: There is ongoing debate about whether or not robot-assisted thyroidectomy is appropriate for modified radical neck dissection (MRND). The purpose of this study was to compare the surgical outcomes of robot-assisted MRND with those of a co...
Thyroidectomy Thyroid Neoplasms Lymph Nodes Middle Aged Postoperative Complications Incidence Robotics Breast Propensity Score Carcinoma, Papillary Lymphatic Metastasis Axilla Operative Time Humans Retrospective Studies Republic of Korea Female Adult Male Neck Dissection
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Effects of combining modern recovery techniques with neurotrophic medication and standard treatment in stroke patients.

The Science of the total environment May 7, 2019
Stroke is the main cause of disability after age 65, leaving survivors with sequels that require care and recovery treatment lasting years. It is estimated that by the year 2030 this pathology will be leading cause of mortality. To determine the effi...
Romania Balneology Amino Acids Stroke Physical Therapy Modalities Humans Prospective Studies Male Middle Aged Female Neuroprotective Agents Aged Robotics Aged, 80 and over
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Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.

NeuroImage May 7, 2019
Subtle changes in hippocampal volumes may occur during both physiological and pathophysiological processes in the human brain. Assessing hippocampal volumes manually is a time-consuming procedure, however, creating a need for automated segmentation m...
Algorithms Female Young Adult Adult Male Middle Aged Hippocampus Image Processing, Computer-Assisted Neuroimaging Humans Magnetic Resonance Imaging Deep Learning Healthy Volunteers Adolescent Child
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Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.

International journal of medical informatics May 7, 2019
BACKGROUND: Approximately 10%-15% of patients with breast cancer die of cancer metastasis or recurrence, and early diagnosis of it can improve prognosis. Breast cancer outcomes may be prognosticated on the basis of surface markers of tumor cells and ...
Breast Neoplasms ROC Curve Humans Biomarkers Middle Aged Machine Learning Bayes Theorem Prognosis Cohort Studies Algorithms Female
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Assessing Cancer Risk from Mammograms: Deep Learning Is Superior to Conventional Risk Models.

Radiology May 7, 2019
Deep Learning Mammography Breast Humans Breast Neoplasms
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A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.

Radiology May 7, 2019
Background Mammographic density improves the accuracy of breast cancer risk models. However, the use of breast density is limited by subjective assessment, variation across radiologists, and restricted data. A mammography-based deep learning (DL) mod...
Mammography Radiographic Image Interpretation, Computer-Assisted Breast Aged, 80 and over Adult Breast Neoplasms Middle Aged Risk Assessment Female Humans Deep Learning Reproducibility of Results Retrospective Studies Aged
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RIANet: Recurrent interleaved attention network for cardiac MRI segmentation.

Computers in biology and medicine May 7, 2019
BACKGROUND: Segmentation of anatomical structures of the heart from cardiac magnetic resonance images (MRI) has a significant impact on the quantitative analysis of the cardiac contractile function. Although deep convolutional neural networks (ConvNe...
Heart Neural Networks, Computer Humans Imaging, Three-Dimensional Magnetic Resonance Imaging
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