AIMC Topic: Aged, 80 and over
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The Impact of Engagement with the PARO Therapeutic Robot on the Psychological Benefits of Older Adults with Dementia.
Clinical gerontologist
Sep 4, 2022
OBJECTIVES: This study aimed to examine the effect of 8-weeks of a 60-minute PARO intervention to reduce depressive symptoms and loneliness in older adults with dementia and investigated changes in their emotional or behavioral expressions and level ...
Deep Relation Learning for Regression and Its Application to Brain Age Estimation.
IEEE transactions on medical imaging
Aug 31, 2022
Most deep learning models for temporal regression directly output the estimation based on single input images, ignoring the relationships between different images. In this paper, we propose deep relation learning for regression, aiming to learn diffe...
Deep learning of ECG waveforms for diagnosis of heart failure with a reduced left ventricular ejection fraction.
Scientific reports
Aug 20, 2022
The performance and clinical implications of the deep learning aided algorithm using electrocardiogram of heart failure (HF) with reduced ejection fraction (DeepECG-HFrEF) were evaluated in patients with acute HF. The DeepECG-HFrEF algorithm was trai...
Successful Use of a 5G-Based Robot-Assisted Remote Ultrasound System in a Care Center for Disabled Patients in Rural China.
Frontiers in public health
Jul 18, 2022
BACKGROUND: Disability has become a global population health challenge. Due to difficulties in self-care or independent living, patients with disability mainly live in community-based care centers or institutions for long-term care. Nonetheless, thes...
External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Jul 14, 2022
BACKGROUND: Magnetic resonance imaging (MRI) is used to detect degenerative changes of the lumbar spine. SpineNet (SN), a computer vision-based system, performs an automated analysis of degenerative features in MRI scans aiming to provide high accura...
Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs.
Scientific reports
Jul 12, 2022
Joint effusion due to elbow fractures are common among adults and children. Radiography is the most commonly used imaging procedure to diagnose elbow injuries. The purpose of the study was to investigate the diagnostic accuracy of deep convolutional ...
Socially assistive robots on the market : Experiences from inpatient care and potentials for care at home.
Zeitschrift fur Gerontologie und Geriatrie
Jul 11, 2022
BACKGROUND: The article addresses commercial socially assistive robots (SAR). There is evidence of the impact of SAR on older persons in institutional settings. Family care at home has not yet been the subject of systematic research; however, especia...
Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Jul 7, 2022
INTRODUCTION: Automated computational assessment of neuropsychological tests would enable widespread, cost-effective screening for dementia.
Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients.
JACC. Heart failure
Jul 6, 2022
BACKGROUND: Surgical mechanical ventricular assistance and cardiac replacement therapies, although life-saving in many heart failure (HF) patients, remain high-risk. Despite this, the difficulty in timely identification of medical therapy nonresponde...
Reduction in Acquisition Time and Improvement in Image Quality in T2-Weighted MR Imaging of Musculoskeletal Tumors of the Extremities Using a Novel Deep Learning-Based Reconstruction Technique in a Turbo Spin Echo (TSE) Sequence.
Tomography (Ann Arbor, Mich.)
Jul 6, 2022
Background: The aim of this study was to assess the technical feasibility and the impact on image quality and acquisition time of a deep learning-accelerated fat-saturated T2-weighted turbo spin echo sequence in musculoskeletal imaging of the extremi...
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