AIMC Topic: Aged, 80 and over

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Robotic versus laparoscopic radical hysterectomy in early cervical cancer: A case matched control study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Feb 13, 2018
BACKGROUND: This study aims at evaluating the feasibility, surgical outcome and oncological results observed after robotic radical hysterectomy (RH) compared to laparoscopy for patients with early stage cervical cancer (ECC) patients.
Aged Aged, 80 and over Young Adult Adult Survival Rate Humans Retrospective Studies Female Early Detection of Cancer Robotics Neoplasm Staging Laparoscopy Italy Hysterectomy Uterine Cervical Neoplasms Middle Aged Postoperative Complications Incidence Time Factors
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Robot-Assisted Technique for Total Gastrectomy and D2 Lymphadenectomy with Anomalous Vasculature.

Annals of surgical oncology Feb 12, 2018
Robotics Laparoscopy Gastrectomy Retrospective Studies Female Aged Aged, 80 and over Adult Stomach Neoplasms Male Middle Aged Follow-Up Studies Lymph Node Excision Humans Prognosis
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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Journal of cancer research and clinical oncology Feb 9, 2018
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores.
Neoplasm Recurrence, Local Algorithms Multivariate Analysis Prognosis Female Risk Factors Aged Middle Aged Cohort Studies Magnetic Resonance Imaging Humans Aged, 80 and over Machine Learning Adult Breast Neoplasms
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Female Skin Neoplasms Aged Aged, 80 and over Young Adult Humans Software Image Processing, Computer-Assisted Diagnosis, Differential Predictive Value of Tests Area Under Curve Biopsy Skin Adult Male Middle Aged Deep Learning ROC Curve Datasets as Topic Granuloma, Pyogenic False Positive Reactions Photography Keratosis, Actinic Keratosis, Seborrheic Lentigo Warts
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Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis.

IEEE transactions on bio-medical engineering Feb 5, 2018
OBJECTIVE: Electrophysiological muscle classification (EMC) is a crucial step in the diagnosis of neuromuscular disorders. Existing quantitative techniques are not sufficiently robust and accurate to be reliably clinically used. Here, EMC is modeled ...
Wavelet Analysis Entropy Electrophysiological Phenomena Adult Middle Aged Muscle, Skeletal Unsupervised Machine Learning Aged Electromyography Aged, 80 and over Young Adult Humans Algorithms
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Assessment of cortical bone fracture resistance curves by fusing artificial neural networks and linear regression.

Computer methods in biomechanics and biomedical engineering Jan 31, 2018
Bone injures (BI) represents one of the major health problems, together with cancer and cardiovascular diseases. Assessment of the risks associated with BI is nontrivial since fragility of human cortical bone is varying with age. Due to restrictions ...
Middle Aged Neural Networks, Computer Humans Age Factors Aged Fractures, Bone Aged, 80 and over Linear Models Adult Cortical Bone Biomechanical Phenomena
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Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study.

Journal of general internal medicine Jan 30, 2018
BACKGROUND: Predicting death in a cohort of clinically diverse, multicondition hospitalized patients is difficult. Prognostic models that use electronic medical record (EMR) data to determine 1-year death risk can improve end-of-life planning and ris...
Models, Theoretical Proof of Concept Study Mortality Humans Machine Learning Data Analysis Forecasting Retrospective Studies Aged Electronic Health Records Aged, 80 and over Female Adult Reproducibility of Results Male Risk Factors Hospitalization Middle Aged Cohort Studies
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Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.

Physics in medicine and biology Jan 30, 2018
In order to automatically identify a set of effective mammographic image features and build an optimal breast cancer risk stratification model, this study aims to investigate advantages of applying a machine learning approach embedded with a locally ...
Risk Assessment Image Processing, Computer-Assisted Mammography Radiographic Image Interpretation, Computer-Assisted Breast Breast Density Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged Humans Machine Learning Algorithms Female Aged
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Higher Serum Endocan Level Is Associated with Alzheimer Disease.

Dementia and geriatric cognitive disorders Jan 26, 2018
BACKGROUND: The novel molecule endocan, which is released by endothelium and is regulated by proangiogenic and proinflammatory cytokines, may have a role in the pathophysiology of Alzheimer disease (AD). The aim of this study was to evaluate the rela...
Geriatric Assessment Reference Values Alzheimer Disease Male Humans Cognitive Dysfunction Neuropsychological Tests Biomarkers ROC Curve Female Proteoglycans Aged Neoplasm Proteins Aged, 80 and over
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Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

European radiology Jan 19, 2018
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomograph...
Middle Aged Severity of Illness Index Hemodynamics Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Myocardial Ischemia Plaque, Atherosclerotic Vascular Calcification Female Aged Aged, 80 and over Adult Male Humans Machine Learning
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