AIMC Topic: Aged, 80 and over

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Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results.

Medical physics Nov 22, 2019
PURPOSE: Deep learning is emerging in radiology due to the increased computational capabilities available to reading rooms. These computational developments have the ability to mimic the radiologist and may allow for more accurate tissue characteriza...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Radiology Humans Female Aged Breast Neoplasms Middle Aged Deep Learning Aged, 80 and over Young Adult Adult
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Machine Learning Interpretation of Extended Human Papillomavirus Genotyping by Onclarity in an Asian Cervical Cancer Screening Population.

Journal of clinical microbiology Nov 22, 2019
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay with the Cobas HPV test in identifying cervical intraepithelial neoplasia 2/3 or above (CIN2/3+) in an Asian screening population and (ii) to explore...
Female Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Papillomavirus Infections Early Detection of Cancer Asian People Genotyping Techniques Uterine Cervical Dysplasia Papillomaviridae Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Adolescent Genotype
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Deep segmentation networks predict survival of non-small cell lung cancer.

Scientific reports Nov 21, 2019
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/comp...
Retrospective Studies Female Radiopharmaceuticals Aged Datasets as Topic Humans Deep Learning Treatment Outcome Male Aged, 80 and over Radiosurgery Prognosis Image Processing, Computer-Assisted Survival Rate Middle Aged Carcinoma, Non-Small-Cell Lung Lung Neoplasms Lung Predictive Value of Tests Positron Emission Tomography Computed Tomography Neoplasm Staging
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Comparison of morphometric parameters in prediction of hydrocephalus using random forests.

Computers in biology and medicine Nov 20, 2019
Ventricles of the human brain enlarge with aging, neurodegenerative diseases, intrinsic, and extrinsic pathologies. The morphometric examination of neuroimages is an effective approach to assess structural changes occurring due to diseases such as hy...
Middle Aged Adolescent Decision Trees Child, Preschool Humans Aged Hydrocephalus Child Machine Learning Aged, 80 and over Image Interpretation, Computer-Assisted Algorithms Young Adult Magnetic Resonance Imaging Cerebral Ventricles Brain Adult Female Male
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Electroencephalogram based communication system for locked in state person using mentally spelled tasks with optimized network model.

Artificial intelligence in medicine Nov 19, 2019
Due to growth in population, Individual persons with disabilities are increasing daily. To overcome the disability especially in Locked in State (LIS) due to Spinal Cord Injury (SCI), we planned to design four states moving robot from four imagery ta...
Spinal Cord Injuries Communication Devices for People with Disabilities Locked-In Syndrome Humans Electrodes Neural Networks, Computer Sex Characteristics Healthy Volunteers Brain-Computer Interfaces Wavelet Analysis Aged, 80 and over Algorithms Male Young Adult Computer Simulation Middle Aged Adult Female Electroencephalography Reproducibility of Results Aged
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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Radiology Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Feasibility Studies Image Interpretation, Computer-Assisted Cohort Studies Lymph Nodes Lymphatic Metastasis Algorithms Humans Predictive Value of Tests Retrospective Studies Neural Networks, Computer Ultrasonography, Mammary Female Breast Neoplasms Young Adult Aged Middle Aged Aged, 80 and over Adult Deep Learning Sensitivity and Specificity
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Deep learning modeling using normal mammograms for predicting breast cancer risk.

Medical physics Nov 19, 2019
PURPOSE: To investigate two deep learning-based modeling schemes for predicting short-term risk of developing breast cancer using prior normal screening digital mammograms in a case-control setting.
Humans Retrospective Studies Middle Aged Models, Theoretical Female Risk Assessment Mammography Aged Case-Control Studies Aged, 80 and over Deep Learning Adult Cohort Studies Breast Neoplasms
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Deep learning segmentation of major vessels in X-ray coronary angiography.

Scientific reports Nov 15, 2019
X-ray coronary angiography is a primary imaging technique for diagnosing coronary diseases. Although quantitative coronary angiography (QCA) provides morphological information of coronary arteries with objective quantitative measures, considerable tr...
Coronary Vessels Anatomy, Cross-Sectional Female Reproducibility of Results Aged Aged, 80 and over Male Image Processing, Computer-Assisted Coronary Angiography Datasets as Topic Middle Aged Deep Learning Imaging, Three-Dimensional Humans Algorithms Tomography, X-Ray Computed
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Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods.

Artificial intelligence in medicine Nov 13, 2019
Pressure injuries represent a tremendous healthcare challenge in many nations. Elderly and disabled people are the most affected by this fast growing disease. Hence, an accurate diagnosis of pressure injuries is paramount for efficient treatment. The...
Image Processing, Computer-Assisted Machine Learning Humans Algorithms Wounds and Injuries Aged Pressure Ulcer Aged, 80 and over Middle Aged
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CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms.

International journal of computer assisted radiology and surgery Nov 13, 2019
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the deadliest neoplasm) are staging and histology, this work aimed to associate quantitative contrast-enhanced computed tomography (CT) features from malig...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Humans Machine Learning Retrospective Studies Predictive Value of Tests Neoplasm Staging Biopsy Neoplasm Metastasis Male Middle Aged Lung ROC Curve Lung Neoplasms
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