AIMC Topic: Aged, 80 and over

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Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma.

Cancer Mar 4, 2020
BACKGROUND: Imaging of glioblastoma patients after maximal safe resection and chemoradiation commonly demonstrates new enhancements that raise concerns about tumor progression. However, in 30% to 50% of patients, these enhancements primarily represen...
Disease Progression Magnetic Resonance Imaging Glioblastoma Adult Biomarkers, Tumor Humans Brain Neoplasms Machine Learning Male Female Middle Aged Aged Aged, 80 and over
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Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy.

Journal of the European Academy of Dermatology and Venereology : JEADV Mar 4, 2020
BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and for about 10-20% of the tumours affecting the head and neck area. Radiotherapy is suggested for localized cutaneous squamous cell carcinomas (cSCC) wit...
Scalp Head and Neck Neoplasms Age Factors Neoplasm Staging Neoplasm Recurrence, Local Radiotherapy Dosage Aged Aged, 80 and over Male Middle Aged Treatment Outcome Humans Neural Networks, Computer Forecasting Phenotype Retrospective Studies Female Skin Neoplasms Carcinoma, Squamous Cell
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Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing.

AJR. American journal of roentgenology Mar 4, 2020
The purpose of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for fully automated quantification of emphysema on chest CT compared with pulmonary function testing (spirometry). A total of 141 patients (72 women...
Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Respiratory Function Tests Humans Artificial Intelligence
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Datasets as Topic Host-Pathogen Interactions Virus Diseases Humans ROC Curve RNA, Messenger Support Vector Machine Bacterial Infections Acute Disease Adult Neural Networks, Computer Male Intensive Care Units Middle Aged Female Gene Expression Profiling Aged Sepsis Aged, 80 and over Hospital Mortality
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Identifying Cancer Patients at Risk for Heart Failure Using Machine Learning Methods.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment outcomes and quality of life. Early detection of cancer patients at risk for cardiotoxicity before cardiotoxic treatments and providing preventive mea...
Middle Aged Humans Neoplasms Machine Learning Quality of Life Risk Factors Algorithms Antineoplastic Agents Aged Electronic Health Records Heart Failure Aged, 80 and over Female Adult Male
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Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

International journal of medical informatics Mar 3, 2020
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk...
Accidental Falls Cohort Studies Parkinson Disease Maine Aged Humans Aged, 80 and over Machine Learning Male Algorithms Risk Assessment Electronic Health Records Comorbidity Female Risk Factors
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Prediction of caregiver burden in amyotrophic lateral sclerosis: a machine learning approach using random forests applied to a cohort study.

BMJ open Feb 28, 2020
OBJECTIVES: Amyotrophic lateral sclerosis (ALS) is a rare neurodegenerative disease that is characterised by the rapid degeneration of upper and lower motor neurons and has a fatal trajectory 3-4 years from symptom onset. Due to the nature of the con...
Caregivers Cost of Illness Ireland Caregiver Burden Humans Machine Learning Aged Aged, 80 and over Adult Middle Aged Quality of Life Cohort Studies Amyotrophic Lateral Sclerosis
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Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Urolithiasis Feb 27, 2020
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' as...
Datasets as Topic Vascular Calcification Ureter Veins Ureteral Calculi Middle Aged Adolescent ROC Curve Diagnosis, Differential Pelvis Renal Colic Humans Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Adult Male
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Calculating the target exposure index using a deep convolutional neural network and a rule base.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 27, 2020
PURPOSE: The objective of this study is to determine the quality of chest X-ray images using a deep convolutional neural network (DCNN) and a rule base without performing any visual assessment. A method is proposed for determining the minimum diagnos...
Neural Networks, Computer Tomography, X-Ray Computed Reproducibility of Results Aged Aged, 80 and over Humans Deep Learning Image Processing, Computer-Assisted Spine Radiography, Thoracic Thorax Mediastinum Young Adult Adult Sensitivity and Specificity Middle Aged Lung
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Harnessing Population Pedigree Data and Machine Learning Methods to Identify Patterns of Familial Bladder Cancer Risk.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology Feb 25, 2020
BACKGROUND: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel ...
Risk Factors Aged Aged, 80 and over Young Adult Adult Male Humans Machine Learning Databases, Factual Female Pedigree Urinary Bladder Neoplasms Middle Aged Neoplastic Syndromes, Hereditary Risk Assessment Data Mining Adolescent Data Collection Incidence Genetic Heterogeneity Genetic Predisposition to Disease Utah
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