AIMC Topic: Aged, 80 and over
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Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks.
NeuroImage. Clinical
Dec 18, 2018
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. Convolutional n...
Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.
Cancer medicine
Dec 18, 2018
BACKGROUND: For Glioblastoma (GBM), various prognostic nomograms have been proposed. This study aims to evaluate machine learning models to predict patients' overall survival (OS) and progression-free survival (PFS) on the basis of clinical, patholog...
Assistive robots for socialization in elderly people: results pertaining to the needs of the users.
Aging clinical and experimental research
Dec 17, 2018
BACKGROUND/AIM: Technological solutions can support the elderly, improve their quality of life and reduce isolation and loneliness. The Euro-Japan ACCRA (Agile Co-Creation for Robots and Aging) project has the objective of building a reference co-cre...
Serum Procalcitonin and Presepsin Levels in Patients with Generalized Pustular Psoriasis.
Disease markers
Dec 16, 2018
Patients with generalized pustular psoriasis (GPP) often present with symptoms that must be differentiated from sepsis. Procalcitonin (PCT) and presepsin (P-SEP) are widely used as biomarkers for sepsis; therefore, we examined the serum PCT and P-SEP...
Antemortem CSF A42/A40 ratio predicts Alzheimer's disease pathology better than A42 in rapidly progressive dementias.
Annals of clinical and translational neurology
Dec 14, 2018
OBJECTIVE: Despite the critical importance of pathologically confirmed samples for biomarker validation, only a few studies have correlated CSF A42 values in vivo with postmortem Alzheimer's disease (AD) pathology, while none evaluated the CSF A42/A4...
Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.
The Journal of thoracic and cardiovascular surgery
Dec 13, 2018
OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the programmed cell death protein 1 checkpoint receptor, in patients with resectable non-small cell lung cancer. We analyzed perioperative outcomes to assess t...
Artificial Intelligence-Assisted Auscultation of Heart Murmurs: Validation by Virtual Clinical Trial.
Pediatric cardiology
Dec 12, 2018
Artificial intelligence (AI) has potential to improve the accuracy of screening for valvular and congenital heart disease by auscultation. However, despite recent advances in signal processing and classification algorithms focused on heart sounds, cl...
Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.
Journal of general internal medicine
Dec 12, 2018
BACKGROUND: Efforts to improve the value of care for high-cost patients may benefit from care management strategies targeted at clinically distinct subgroups of patients.
Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study.
AJR. American journal of roentgenology
Dec 12, 2018
OBJECTIVE: The purpose of this study is to determine whether a convolutional neural network (CNN) can predict the maximum standardized uptake value (SUV) of lymph nodes in patients with cancer using the unenhanced CT images from a PET/CT examination,...
Retrospective Studies
Tomography, X-Ray Computed
Aged
Aged, 80 and over
Young Adult
Humans
Neural Networks, Computer
Predictive Value of Tests
Positron Emission Tomography Computed Tomography
Radiopharmaceuticals
Fluorodeoxyglucose F18
Proof of Concept Study
Adult
Middle Aged
Neoplasms
Imaging, Three-Dimensional
Lymphatic Metastasis
Correlation of the modified Medical Research Council dyspnea scale with airway structure assessed by three-dimensional CT in patients with chronic obstructive pulmonary disease.
Respiratory medicine
Dec 12, 2018
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modified Medical Research Council (mMRC) dyspnea scale is a widely used questionnaire to assess dyspnea. However, the relationship of the mMRC dyspnea scale ...
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