AIMC Topic: Breath Tests

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Overcoming methodological barriers in electronic nose clinical studies, a simulation data-based approach.

Journal of breath research May 9, 2025
Analysis of volatile organic compounds by electronic nose (e-nose) may address gaps in non-invasive screening for neoplasia. Machine learning impacts study design and sample size requirements, but guidance on clinical study design is limited. This st...
Computer Simulation Neoplasms Humans Breath Tests Electronic Nose Sample Size Volatile Organic Compounds
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High Accuracy of Convolutional Neural Network for Evaluation of Helicobacter pylori Infection Based on Endoscopic Images: Preliminary Experience.

Clinical and translational gastroenterology Dec 1, 2019
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylo...
Middle Aged Deep Learning Male Decision Support Systems, Clinical Image Processing, Computer-Assisted Pilot Projects ROC Curve Humans Retrospective Studies Female Adult Carbon Isotopes Helicobacter pylori Gastroscopy Gastric Mucosa Biopsy Breath Tests Endoscopy, Gastrointestinal Helicobacter Infections
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Neural Networks for Prognostication of Patients With Heart Failure.

Circulation. Heart failure Aug 1, 2018
Background Prognostication of heart failure patients from cardiopulmonary exercise test (CPET) currently involves simplification of complex time-series data into summary indices. We hypothesized that prognostication could be improved by considering t...
Cardiorespiratory Fitness Breath Tests Exercise Tolerance Female Predictive Value of Tests Risk Factors Humans Exercise Test Neural Networks, Computer Aged Heart Failure Adult Data Mining Risk Assessment Retrospective Studies Prognosis Male Health Status Clinical Decision-Making Middle Aged
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Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

Current opinion in pulmonary medicine Mar 1, 2018
PURPOSE OF REVIEW: The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be us...
Respiratory Function Tests Respiratory Sounds Pattern Recognition, Automated Machine Learning Breath Tests Neural Networks, Computer Lung Diseases, Obstructive Algorithms Humans Tomography, X-Ray Computed Artificial Intelligence Diagnosis, Computer-Assisted
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