AIMC Topic: Aged, 80 and over

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Refinement of two-dimensional electrophoresis for vitreous proteome profiling using an artificial neural network.

Analytical and bioanalytical chemistry May 31, 2019
Despite technological advances, two-dimensional electrophoresis (2DE) of biological fluids, such as vitreous, remains a major challenge. In this study, artificial neural network was applied to optimize the recovery of vitreous proteins and its detect...
Humans Middle Aged Neural Networks, Computer Proteomics Female Electrophoresis, Gel, Two-Dimensional Aged Aged, 80 and over Male
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Rapid discrimination of multiple myeloma patients by artificial neural networks coupled with mass spectrometry of peripheral blood plasma.

Scientific reports May 28, 2019
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and monitoring of MM patients is based on bone marrow biopsies and detection of abnormal immunoglobulin in serum and/or urine. However, biopsies have a singl...
Datasets as Topic Neural Networks, Computer Artificial Intelligence Metabolic Networks and Pathways Female Bone Marrow Aged Immunoglobulins Aged, 80 and over Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Multiple Myeloma Male Humans Middle Aged Case-Control Studies Metabolome Principal Component Analysis
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Prediction of local relapse and distant metastasis in patients with definitive chemoradiotherapy-treated cervical cancer by deep learning from [F]-fluorodeoxyglucose positron emission tomography/computed tomography.

European radiology May 27, 2019
BACKGROUND: We designed a deep learning model for assessing F-FDG PET/CT for early prediction of local and distant failures for patients with locally advanced cervical cancer.
Humans Prognosis Retrospective Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity Uterine Cervical Neoplasms Recurrence Positron Emission Tomography Computed Tomography Middle Aged Neoplasm Recurrence, Local Deep Learning Radiopharmaceuticals Cohort Studies Fluorodeoxyglucose F18 Treatment Outcome Chemoradiotherapy Cervix Uteri
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Benefits of deep learning for delineation of organs at risk in head and neck cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 27, 2019
PURPOSE/OBJECTIVE: Precise delineation of organs at risk (OARs) in head and neck cancer (HNC) is necessary for accurate radiotherapy. Although guidelines exist, significant interobserver variability (IOV) remains. The aim was to validate a 3D convolu...
Female Aged Aged, 80 and over Male Middle Aged Humans Deep Learning Neural Networks, Computer Head and Neck Neoplasms Organs at Risk Observer Variation
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Effect of verticalization with Erigo® in the acute rehabilitation of severe acquired brain injury.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology May 25, 2019
The recovery of the orthostatism after a severe acquired brain injury (sABI) is an essential objective to pursue in order to avoid the occurrence of secondary complications resulting from prolonged immobilization to which the patient is subjected dur...
Female Aged Aged, 80 and over Young Adult Adult Humans Patient Positioning Neurological Rehabilitation Orthostatic Intolerance Male Middle Aged Adolescent Brain Injuries Robotics
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Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Ultrasound in medicine & biology May 25, 2019
The question of whether ultrasound point shear wave elastography can differentiate renal cell carcinoma (RCC) from angiomyolipoma (AML) is controversial. This study prospectively enrolled 51 patients with 52 renal tumors (42 RCCs, 10 AMLs). We obtain...
Elasticity Imaging Techniques Angiomyolipoma Kidney Diagnosis, Differential Image Interpretation, Computer-Assisted Sensitivity and Specificity Kidney Neoplasms Carcinoma, Renal Cell Humans Male Machine Learning Middle Aged Prospective Studies Adolescent Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult
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A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease.

Journal of neuroscience methods May 25, 2019
BACKGROUND: Hippocampus is one of the first structures affected by neurodegenerative diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). Hippocampal atrophy can be evaluated in terms of hippocampal volumes and shapes using ...
Magnetic Resonance Imaging Alzheimer Disease Hippocampus Neuroimaging Humans Neural Networks, Computer Female Aged Aged, 80 and over Male Cognitive Dysfunction Image Processing, Computer-Assisted
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Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly.

NeuroImage. Clinical May 24, 2019
Numerous brain disorders are associated with ventriculomegaly, including both neuro-degenerative diseases and cerebrospinal fluid disorders. Detailed evaluation of the ventricular system is important for these conditions to help understand the pathog...
Image Interpretation, Computer-Assisted Neuroimaging Cerebral Ventricles Hydrocephalus, Normal Pressure Humans Female Aged Aged, 80 and over Adult Male Middle Aged Deep Learning Imaging, Three-Dimensional
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Breast cancer outcome prediction with tumour tissue images and machine learning.

Breast cancer research and treatment May 22, 2019
PURPOSE: Recent advances in machine learning have enabled better understanding of large and complex visual data. Here, we aim to investigate patient outcome prediction with a machine learning method using only an image of tumour sample as an input.
Humans Machine Learning Neoplasm Staging Neoplasm Grading Workflow Microscopy Breast Neoplasms Survival Analysis Prognosis Biomarkers, Tumor Tumor Burden Middle Aged Female Neoplasm Metastasis Image Processing, Computer-Assisted Aged Immunohistochemistry Follow-Up Studies Aged, 80 and over Kaplan-Meier Estimate Adult
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Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Radiology May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Artificial Intelligence Retrospective Studies Female Reproducibility of Results Aged United States Diagnostic Imaging Image Interpretation, Computer-Assisted Radiology Information Systems Societies, Medical Middle Aged Humans Risk Assessment Adolescent Thyroid Gland Thyroid Nodule
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