AIMC Topic: Middle Aged

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MR-based treatment planning in radiation therapy using a deep learning approach.

Journal of applied clinical medical physics Mar 1, 2019
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment planning (deepMTP) in brain tumor radiation therapy.
Middle Aged Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Stroke Radiotherapy Dosage Aged, 80 and over Radiotherapy, Intensity-Modulated Young Adult Humans Adult Retrospective Studies Brain Neoplasms Tomography, X-Ray Computed Male Female Aged
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Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: Patients with peripheral artery disease (PAD) are at risk of major adverse cardiac and cerebrovascular events. There are no readily available risk scores that can accurately identify which patients are most likely to sustain an event, mak...
Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Heart Diseases Prognosis Humans Electronic Health Records United States Machine Learning Female Peripheral Arterial Disease Risk Factors Tertiary Care Centers Aged Data Mining Cerebrovascular Disorders
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Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy.

Circulation. Cardiovascular quality and outcomes Mar 1, 2019
BACKGROUND: The absolute risk reduction (ARR) in cardiovascular events from therapy is generally assumed to be proportional to baseline risk-such that high-risk patients benefit most. Yet newer analyses have proposed using randomized trial data to de...
Randomized Controlled Trials as Topic Blood Pressure Antihypertensive Agents Data Mining Male Humans Middle Aged Machine Learning Risk Assessment Hypertension Female Treatment Outcome Risk Factors Aged
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Extensive Lymph Node Dissection Around the Left Laryngeal Nerve Achieved With Robot-assisted Thoracoscopic Esophagectomy.

Anticancer research Mar 1, 2019
BACKGROUND/AIM: The potential advantages of robot-assisted thoracoscopic esophagectomy (RATE) have yet to be verified. This study focused on the degree of lymph node dissection around the left recurrent laryngeal nerve (RLN).
Female Aged Adult Male Middle Aged Thoracic Surgery, Video-Assisted Esophagectomy Esophageal Neoplasms Recurrent Laryngeal Nerve Lymph Node Excision Robotics Humans Esophageal Squamous Cell Carcinoma
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Macula Lutea Ranibizumab Photography Angiogenesis Inhibitors Randomized Controlled Trials as Topic Predictive Value of Tests Tomography, Optical Coherence Fundus Oculi False Positive Reactions Intravitreal Injections Female Diagnostic Techniques, Ophthalmological Sensitivity and Specificity Humans Macular Edema Male Diabetic Retinopathy Vascular Endothelial Growth Factor A Middle Aged Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning Retrospective Studies
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Nomogram and Artificial Neural Network for Prognostic Performance on the Albumin-Bilirubin Grade for Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization.

Journal of vascular and interventional radiology : JVIR Mar 1, 2019
PURPOSE: To construct the albumin-bilirubin (ALBI) grade and the Child-Turcotte-Pugh (CTP) score based on nomograms, as well as to develop an artificial neural network (ANN) to compare the prognostic performance of the 2 scores for hepatocellular car...
Serum Albumin, Human Male Middle Aged China Time Factors Liver Neoplasms Decision Support Techniques Neoplasm Grading Retrospective Studies Bilirubin Female Chemoembolization, Therapeutic Reproducibility of Results Biomarkers, Tumor Carcinoma, Hepatocellular Nomograms Treatment Outcome Humans Neural Networks, Computer
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Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.

Journal of glaucoma Mar 1, 2019
UNLABELLED: PRéCIS:: The novel proposed algorithm using deep learning classifier and polar transformation technique can be an economical as well as an effective tool for early detection of glaucomatous RNFL defect.
Intraocular Pressure Male Middle Aged Deep Learning ROC Curve Humans Retrospective Studies Female Adult Ophthalmologic Surgical Procedures Diagnostic Techniques, Ophthalmological Photography Glaucoma, Open-Angle Area Under Curve Tomography, Optical Coherence Image Interpretation, Computer-Assisted Nerve Fibers Retinal Ganglion Cells
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Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations.

Stroke Mar 1, 2019
Background and Purpose- Triaging of referrals to transient ischemic attack (TIA) clinics is aided by risk stratification. Deep learning-based natural language processing, a type of machine learning, may be able to assist with the prediction of cerebr...
Humans Neural Networks, Computer Predictive Value of Tests Triage Natural Language Processing Area Under Curve Cerebrovascular Disorders False Positive Reactions Ischemic Attack, Transient Middle Aged Risk Assessment Machine Learning Deep Learning Female Treatment Outcome Aged Magnetic Resonance Imaging Aged, 80 and over Male
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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: Alcohol misuse is present in over a quarter of trauma patients. Information in the clinical notes of the electronic health record of trauma patients may be used for phenotyping tasks with natural language processing (NLP) and supervised ma...
Natural Language Processing Alcoholism Wounds and Injuries Trauma Centers Adult Male Middle Aged Cohort Studies ROC Curve Machine Learning Electronic Health Records Female Humans
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Machine learning-based prediction of clinical pain using multimodal neuroimaging and autonomic metrics.

Pain Mar 1, 2019
Although self-report pain ratings are the gold standard in clinical pain assessment, they are inherently subjective in nature and significantly influenced by multidimensional contextual variables. Although objective biomarkers for pain could substant...
Humans Middle Aged Adolescent Pain Measurement Neuroimaging Back Pain Autonomic Nervous System Machine Learning Algorithms Brain Young Adult Adult
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