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Case-Control Studies

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Artificial intelligence in gastrointestinal endoscopy: how intelligent can it get?

The Lancet. Oncology Dec 1, 2019
Humans Artificial Intelligence Case-Control Studies Endoscopy, Gastrointestinal Gastrointestinal Neoplasms
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Transcriptome Phenotype Humans Case-Control Studies Female Machine Learning Male Follow-Up Studies Aged Coronary Artery Disease Algorithms Adipose Tissue Middle Aged Genetic Markers Risk Assessment Plaque, Atherosclerotic Gene Expression Profiling Computed Tomography Angiography
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Machine-learned analysis of the association of next-generation sequencing-based genotypes with persistent pain after breast cancer surgery.

Pain Oct 1, 2019
Cancer and its surgical treatment are among the most important triggering events for persistent pain, but additional factors need to be present for the clinical manifestation, such as variants in pain-relevant genes. In a cohort of 140 women undergoi...
Machine Learning Female Aged Adult Breast Neoplasms Humans High-Throughput Nucleotide Sequencing Cancer Pain Reelin Protein Pain Measurement Middle Aged Pain, Postoperative Case-Control Studies Mastectomy Cohort Studies Genetic Variation Genotype
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Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience.

Journal of the American College of Radiology : JACR Sep 1, 2019
Humans Forecasting Retrospective Studies Carcinoma, Pancreatic Ductal Quality Improvement Deep Learning Tomography, X-Ray Computed Automation Imaging, Three-Dimensional Pancreatic Neoplasms Workflow Female Male Case-Control Studies
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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Journal of the National Cancer Institute Sep 1, 2019
BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases occur annually. Visual inspection of the cervix following acetic acid applicati...
Mass Screening Cervix Uteri Severity of Illness Index Humans Early Detection of Cancer Case-Control Studies Colposcopy Population Surveillance Aged Deep Learning Area Under Curve Image Processing, Computer-Assisted Aged, 80 and over Uterine Cervical Dysplasia Adult Young Adult Sensitivity and Specificity Algorithms Uterine Cervical Neoplasms Female Middle Aged
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Objective Assessment of the Utility of Chromoendoscopy with a Support Vector Machine.

Journal of gastrointestinal cancer Sep 1, 2019
PURPOSE: The utility of chromoendoscopy for early gastric cancer (GC) was determined by machine learning using data of color differences.
Case-Control Studies Support Vector Machine Diagnosis, Differential Coloring Agents Female Aged Stomach Neoplasms Male Gastroscopy Gastric Mucosa Endoscopy, Digestive System Humans Prognosis
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Utility of machine learning algorithms in assessing patients with a systemic right ventricle.

European heart journal. Cardiovascular Imaging Aug 1, 2019
AIMS: To investigate the utility of novel deep learning (DL) algorithms in recognizing transposition of the great arteries (TGA) after atrial switch procedure or congenitally corrected TGA (ccTGA) based on routine transthoracic echocardiograms. In ad...
Male Echocardiography Case-Control Studies Ventricular Dysfunction, Right Transposition of Great Vessels Arterial Switch Operation Machine Learning Female Adult Sensitivity and Specificity Humans
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Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
A less-invasive method for the diagnosis of the major depressive disorder can be useful for both the psychiatrists and the patients. We propose a machine learning framework for automatically discriminating patients suffering from the major depressive...
Neural Networks, Computer Exercise Humans Depressive Disorder, Major Support Vector Machine Case-Control Studies
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Deep Learning Techniques for Improving Digital Gait Segmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Wearable technology for the automatic detection of gait events has recently gained growing interest, enabling advanced analyses that were previously limited to specialist centres and equipment (e.g., instrumented walkway). In this study, we present a...
Wavelet Analysis Gait Analysis Foot Wearable Electronic Devices Humans Case-Control Studies Parkinson Disease Deep Learning Algorithms Gait Reproducibility of Results
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Robot Diagnosis Test for Egocentric and Allocentric Hemineglect.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists Jun 1, 2019
OBJECTIVE: Patients with hemineglect fail to respond to egocentric stimuli or allocentric parts of stimuli contralateral to the brain lesion. The clinical diagnosis of hemineglect mainly involves evaluation of the egocentric form, while less sensitiv...
Neuropsychological Tests Middle Aged Aged, 80 and over Stroke Case-Control Studies Humans Space Perception Reference Values Female Diagnosis, Computer-Assisted Adult Perceptual Disorders Reproducibility of Results Sensitivity and Specificity Robotics Attention Aged Male Functional Laterality
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