AIMC Topic: Diagnosis, Computer-Assisted

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Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.

Medical physics Mar 12, 2019
OBJECTIVES: The aim of this study was to develop a fully automated deep learning approach for identification of the pectoral muscle on mediolateral oblique (MLO) view mammograms and evaluate its performance in comparison to our previously developed t...
Humans Neural Networks, Computer Algorithms Female Mammography Radiologists Observer Variation Pectoralis Muscles Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted
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Clinical applications of machine learning algorithms: beyond the black box.

BMJ (Clinical research ed.) Mar 12, 2019
Therapy, Computer-Assisted Attitude to Computers Attitude of Health Personnel Health Knowledge, Attitudes, Practice Ethics, Medical Computer Security Humans Algorithms Clinical Decision-Making Diagnosis, Computer-Assisted Machine Learning
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Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.

Journal of cardiovascular electrophysiology Mar 10, 2019
OBJECTIVES: We sought to validate a deep learning algorithm designed to predict an ejection fraction (EF) less than or equal to 35% based on the 12-lead electrocardiogram (ECG) in a large prospective cohort.
Predictive Value of Tests Signal Processing, Computer-Assisted Heart Rate Ventricular Dysfunction, Left Male Middle Aged Humans Female Ventricular Function, Left Diagnosis, Computer-Assisted Prospective Studies Reproducibility of Results Stroke Volume Deep Learning Prognosis Aged Echocardiography Electrocardiography Aged, 80 and over
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NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

PloS one Mar 8, 2019
INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.
Male Neuropsychological Tests Cognitive Dysfunction Humans Aged Dementia Diagnosis, Differential Middle Aged Machine Learning Aged, 80 and over Area Under Curve ROC Curve Female Diagnosis, Computer-Assisted Adult Geriatric Assessment Mass Screening Surveys and Questionnaires Sensitivity and Specificity
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Tooth detection and numbering in panoramic radiographs using convolutional neural networks.

Dento maxillo facial radiology Mar 5, 2019
OBJECTIVES: Analysis of dental radiographs is an important part of the diagnostic process in daily clinical practice. Interpretation by an expert includes teeth detection and numbering. In this project, a novel solution based on convolutional neural ...
Tooth Humans Neural Networks, Computer Algorithms Adult Diagnosis, Computer-Assisted Radiography, Panoramic
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Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.

Cellular oncology (Dordrecht, Netherlands) Mar 1, 2019
PURPOSE: Tumor-stroma ratio (TSR) serves as an independent prognostic factor in colorectal cancer and other solid malignancies. The recent introduction of digital pathology in routine tissue diagnostics holds opportunities for automated TSR analysis....
Female Aged Male Middle Aged Humans Prognosis Stromal Cells Multivariate Analysis Kaplan-Meier Estimate Pathology, Clinical Diagnosis, Computer-Assisted Deep Learning Neoplasm Staging Rectal Neoplasms
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Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis.

JAMA network open Mar 1, 2019
IMPORTANCE: Knowing the future condition of a patient would enable a physician to customize current therapeutic options to prevent disease worsening, but predicting that future condition requires sophisticated modeling and information. If artificial ...
Male Middle Aged Diagnosis, Computer-Assisted Humans Cohort Studies Deep Learning Electronic Health Records Forecasting Arthritis, Rheumatoid Female Prognosis Aged Adult
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Artificial intelligence and colonoscopy: Current status and future perspectives.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Feb 27, 2019
BACKGROUND AND AIM: Application of artificial intelligence in medicine is now attracting substantial attention. In the field of gastrointestinal endoscopy, computer-aided diagnosis (CAD) for colonoscopy is the most investigated area, although it is s...
Artificial Intelligence Forecasting Colorectal Neoplasms Diagnostic Errors Colonoscopy Diagnosis, Computer-Assisted Quality Improvement Colonic Polyps Humans
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Distributed learning from multiple EHR databases: Contextual embedding models for medical events.

Journal of biomedical informatics Feb 27, 2019
Electronic health record (EHR) data provide promising opportunities to explore personalized treatment regimes and to make clinical predictions. Compared with regular clinical data, EHR data are known for their irregularity and complexity. In addition...
Humans Machine Learning Electronic Health Records Diagnosis, Computer-Assisted Computer Communication Networks
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A Novel Hybrid Feature Extraction Model for Classification on Pulmonary Nodules.

Asian Pacific journal of cancer prevention : APJCP Feb 26, 2019
In this paper an improved Computer Aided Design system can offer a second opinion to radiologists on early diagnosis of pulmonary nodules on CT (Computer Tomography) images. A Deep Convolutional Neural Network (DCNN) method is used for feature extrac...
Early Detection of Cancer Decision Trees Radiographic Image Interpretation, Computer-Assisted Machine Learning Algorithms Diagnosis, Computer-Assisted Prognosis Lung Neoplasms Tomography, X-Ray Computed Support Vector Machine Humans Neural Networks, Computer
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