AIMC Topic: Case-Control Studies

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Artificial intelligence applications in upper gastrointestinal cancers - Authors' reply.

The Lancet. Oncology Jan 1, 2020
Gastrointestinal Neoplasms Humans Artificial Intelligence Endoscopy Case-Control Studies
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Artificial intelligence applications in upper gastrointestinal cancers.

The Lancet. Oncology Jan 1, 2020
Humans Artificial Intelligence Machine Learning Endoscopy Case-Control Studies Gastrointestinal Neoplasms
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High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.

JAMA cardiology Jan 1, 2020
This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.
Aged, 80 and over Adult Male Middle Aged Humans Video Recording Neural Networks, Computer Case-Control Studies Face Female Deep Learning Predictive Value of Tests Proof of Concept Study Reproducibility of Results Photoplethysmography Atrial Fibrillation Aged Electrocardiography
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Automatic substantia nigra segmentation in neuromelanin-sensitive MRI by deep neural network in patients with prodromal and manifest synucleinopathy.

Physiological research Dec 30, 2019
Neuromelanin (NM) is a black pigment located in the brain in substantia nigra pars compacta (SN) and locus coeruleus. Its loss is directly connected to the loss of nerve cells in this part of the brain, which plays a role in Parkinson's Disease. Magn...
Aged Male Middle Aged Case-Control Studies Humans Female Melanins Prodromal Symptoms Synucleinopathies Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Substantia Nigra
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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...
Plaque, Atherosclerotic Computed Tomography Angiography Risk Assessment Gene Expression Profiling Transcriptome Case-Control Studies Follow-Up Studies Adipose Tissue Coronary Artery Disease Genetic Markers Female Aged Male Middle Aged Humans Machine Learning Algorithms Phenotype
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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...
Cohort Studies Genotype Pain Measurement Pain, Postoperative Adult Humans High-Throughput Nucleotide Sequencing Mastectomy Cancer Pain Machine Learning Breast Neoplasms Genetic Variation Reelin Protein Female Middle Aged Aged Case-Control Studies
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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
Imaging, Three-Dimensional Female Humans Quality Improvement Pancreatic Neoplasms Forecasting Male Automation Workflow Case-Control Studies Retrospective Studies Carcinoma, Pancreatic Ductal Deep Learning Tomography, X-Ray Computed
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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...
Adult Area Under Curve Sensitivity and Specificity Uterine Cervical Dysplasia Uterine Cervical Neoplasms Mass Screening Colposcopy Humans Female Severity of Illness Index Middle Aged Cervix Uteri Algorithms Aged Early Detection of Cancer Case-Control Studies Aged, 80 and over Population Surveillance Deep Learning Young Adult Image Processing, Computer-Assisted
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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.
Male Case-Control Studies Support Vector Machine Diagnosis, Differential Coloring Agents Gastroscopy Gastric Mucosa Endoscopy, Digestive System Prognosis Female Humans Aged Stomach Neoplasms
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