AIMC Topic: Case-Control Studies

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Computer-aided diagnosis of pectus excavatum using CT images and deep learning methods.

Scientific reports Nov 20, 2020
Pectus excavatum (PE) is one of the most common chest wall defects. Accurate assessment of PE deformities is critical for effective surgical intervention. Index-based evaluations have become the standard for objectively estimating PE, however, these ...
Humans Tomography, X-Ray Computed Funnel Chest Adolescent Child Image Interpretation, Computer-Assisted Female Thoracic Wall Young Adult Sternum Male Case-Control Studies Deep Learning
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Automated estimation of echocardiogram image quality in hospitalized patients.

The international journal of cardiovascular imaging Nov 19, 2020
We developed a machine learning model for efficient analysis of echocardiographic image quality in hospitalized patients. This study applied a machine learning model for automated transthoracic echo (TTE) image quality scoring in three inpatient grou...
Echocardiography Middle Aged Respiration, Artificial Case-Control Studies Inpatients Predictive Value of Tests Feasibility Studies Video Recording Image Interpretation, Computer-Assisted Automation Hospitalization Humans Aged Machine Learning Aged, 80 and over Female Adult Reproducibility of Results Male
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Artificial intelligence for the detection of vertebral fractures on plain spinal radiography.

Scientific reports Nov 18, 2020
Vertebral fractures (VFs) cause serious problems, such as substantial functional loss and a high mortality rate, and a delayed diagnosis may further worsen the prognosis. Plain thoracolumbar radiography (PTLR) is an essential method for the evaluatio...
ROC Curve Female Humans Osteoporotic Fractures Aged Neural Networks, Computer Follow-Up Studies Male Artificial Intelligence Radiography Quality of Life Prognosis Absorptiometry, Photon Case-Control Studies Retrospective Studies Spinal Fractures
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Neuromorphic on-chip recognition of saliva samples of COPD and healthy controls using memristive devices.

Scientific reports Nov 12, 2020
Chronic Obstructive Pulmonary Disease (COPD) is a life-threatening lung disease, affecting millions of people worldwide. Implementation of Machine Learning (ML) techniques is crucial for the effective management of COPD in home-care environments. How...
Healthy Volunteers Information Storage and Retrieval Pulmonary Disease, Chronic Obstructive Male Case-Control Studies Saliva Humans Electronics Neural Networks, Computer Machine Learning Female
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Comparing machine learning with case-control models to identify confirmed dengue cases.

PLoS neglected tropical diseases Nov 10, 2020
In recent decades, the global incidence of dengue has increased. Affected countries have responded with more effective surveillance strategies to detect outbreaks early, monitor the trends, and implement prevention and control measures. We have appli...
Developing Countries Epidemiological Monitoring Dengue Aged Young Adult Adult Male Middle Aged Public Health Disease Outbreaks Case-Control Studies Adolescent Models, Statistical Humans Machine Learning Female
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Circulating Neutrophil Extracellular Traps Signature for Identifying Organ Involvement and Response to Glucocorticoid in Adult-Onset Still's Disease: A Machine Learning Study.

Frontiers in immunology Nov 9, 2020
Adult-onset Still's disease (AOSD) is an autoinflammatory disease with multisystem involvement. Early identification of patients with severe complications and those refractory to glucocorticoid is crucial to improve therapeutic strategy in AOSD. Exag...
Treatment Outcome Adult Extracellular Traps Humans Male Support Vector Machine Cytokines Middle Aged Cell-Free Nucleic Acids Prognosis Glucocorticoids Still's Disease, Adult-Onset Female Case-Control Studies Young Adult
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Artificial intelligence automates and augments baseline impedance measurements from pH-impedance studies in gastroesophageal reflux disease.

Journal of gastroenterology Nov 5, 2020
BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance studies. In this exploratory observational cohort study, we determined feasibility of automated AI extraction of baseline impedance (AIBI) and evaluat...
Prospective Studies Female Aged Adult Male Humans Artificial Intelligence Electric Impedance Linear Models Proof of Concept Study Gastroesophageal Reflux Proton Pump Inhibitors Middle Aged Case-Control Studies ROC Curve Treatment Outcome Feasibility Studies Esophageal pH Monitoring
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Host variables confound gut microbiota studies of human disease.

Nature Nov 4, 2020
Low concordance between studies that examine the role of microbiota in human diseases is a pervasive challenge that limits the capacity to identify causal relationships between host-associated microorganisms and pathology. The risk of obtaining false...
Confounding Factors, Epidemiologic Area Under Curve Middle Aged Gastrointestinal Motility Diet Alcohol Drinking Case-Control Studies Aged Disease Feces Aged, 80 and over Life Style Diabetes Mellitus, Type 2 ROC Curve Young Adult Humans Body Mass Index Adult Gastrointestinal Microbiome Machine Learning Male RNA, Ribosomal, 16S Data Analysis Residence Characteristics Female
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Predictive diagnosis of chronic obstructive pulmonary disease using serum metabolic biomarkers and least-squares support vector machine.

Journal of clinical laboratory analysis Nov 3, 2020
OBJECTIVE: Development of biofluid-based biomarkers is attractive for the diagnosis of chronic obstructive pulmonary disease (COPD) but still lacking. Thus, here we aimed to identify serum metabolic biomarkers for the diagnosis of COPD.
Humans Artificial Intelligence Biomarkers Female Diagnosis, Computer-Assisted Support Vector Machine Metabolomics Least-Squares Analysis Magnetic Resonance Spectroscopy Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Case-Control Studies
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Trabeculae microstructure parameters serve as effective predictors for marginal bone loss of dental implant in the mandible.

Scientific reports Oct 28, 2020
Marginal bone loss (MBL) is one of the leading causes of dental implant failure. This study aimed to investigate the feasibility of machine learning (ML) algorithms based on trabeculae microstructure parameters to predict the occurrence of severe MBL...
Prosthesis Failure Cancellous Bone Bone Resorption Case-Control Studies Mandible Humans Logistic Models Neural Networks, Computer Support Vector Machine Female Dental Implants Cross-Sectional Studies Male
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