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Public Health Genomics and Precision Health Knowledge Base (v8.6)
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Last data update: May 27, 2023
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Tuberculosis[original query]>>Original Studies[Product Type]
Chest Radiography of Tuberculosis: Determination of Activity using Deep Learning Algorithm.
Ye Ra Choi et al. Tuberc Respir Dis (Seoul) 2023
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A prospective observational multicentric clinical trial to evaluate microscopic examination of acid-fast bacilli in sputum by artificial intelligence-based microscopy system.
Prashant Gupta et al. J Investig Med 2023 10815589231171402
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Machine Learning Prediction Model of Tuberculosis Incidence Based on Meteorological Factors and Air Pollutants.
Na Tang et al. International journal of environmental research and public health 2023 20(5)
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Mycobacterial cavity on chest computed tomography: clinical implications and deep learning-based automatic detection with quantification.
Ieun Yoon et al. Quantitative imaging in medicine and surgery 2023 13(2) 747-762
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Identification of Active Pulmonary Tuberculosis Among Patients With Positive Interferon-Gamma Release Assay Results: Value of a Deep Learning-based Computer-aided Detection System in Different Scenarios of Implementation.
Jongsoo Park et al. Journal of thoracic imaging 2023
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Multicentre external validation of a commercial artificial intelligence software to analyse chest radiographs in health screening environments with low disease prevalence.
Kim Cherry et al. European radiology 2023
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Deep learning based CT images automatic analysis model for active/non-active pulmonary tuberculosis differential diagnosis.
Nijiati Mayidili et al. Frontiers in molecular biosciences 2022 91086047
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Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam.
Kim Kwanghyun et al. Frontiers in public health 2022 101023098
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Combined electronic medical records and gene polymorphism characteristics to establish an anti-tuberculosis drug-induced hepatic injury (ATDH) prediction model and evaluate the prediction value.
Zhang Jingwei et al. Annals of translational medicine 2022 10(20) 1114
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Evaluation of an AI-Based TB AFB Smear Screening System for Laboratory Diagnosis on Routine Practice.
Fu Hsiao-Ting et al. Sensors (Basel, Switzerland) 2022 22(21)
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Effect of Physical Activity Program on the Quality of Life of Children with Cystic Fibrosis at School Age: A Randomized Clinical Trail.
Hakim Ashrafalsadat et al. Tanaffos 2022 21(1) 63-69
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Meta-Analysis and Data Mining-Based Study on the Expression Characteristics of Inflammatory Factors and Causes of Recurrence in Spinal Tuberculosis.
Wang Jun et al. Computational and mathematical methods in medicine 2022 20228246510
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Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
Visuña Lara et al. BMC medical imaging 2022 22(1) 178
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Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods.
You Shiying et al. PLOS digital health 2022 1(6)
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Raman spectroscopy and machine learning-based optical probe for tuberculosis diagnosis via sputum.
Ullah Ubaid et al. Tuberculosis (Edinburgh, Scotland) 2022 136102251
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The Application of Artificial Intelligence in the Diagnosis and Drug Resistance Prediction of Pulmonary Tuberculosis.
Liang Shufan et al. Frontiers in medicine 2022 9935080
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Using Machine Learning Techniques and National Tuberculosis Surveillance Data to Predict Excess Growth in Genotyped Tuberculosis Clusters.
Althomsons Sandy P et al. American journal of epidemiology 2022
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Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.
Li Li et al. Frontiers in public health 2022 10881234
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Diagnostic accuracy of a commercially-available, deep learning-based chest-Xray interpretation software for detecting culture-confirmed pulmonary tuberculosis.
Tavaziva Gamuchirai et al. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases 2022
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Machine learning-based in-hospital mortality prediction of HIV/AIDS patients with Talaromyces marneffei infection in Guangxi, China.
Shi Minjuan et al. PLoS neglected tropical diseases 2022 16(5) e0010388
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Artificial Intelligence Assisting the Early Detection of Active Pulmonary Tuberculosis From Chest X-Rays: A Population-Based Study.
Nijiati Mayidili et al. Frontiers in molecular biosciences 2022 9874475
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TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images.
Wong Alexander et al. Frontiers in artificial intelligence 2022 5827299
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A treatment recommender clinical decision support system for personalized medicine: method development and proof-of-concept for drug resistant tuberculosis.
Verboven Lennert et al. BMC medical informatics and decision making 2022 22(1) 56
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AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph.
Zhuang Yan et al. Biomolecules 2022 12(2)
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Prediction of Tuberculosis Using an Automated Machine Learning Platform for Models Trained on Synthetic Data.
Rashidi Hooman H et al. Journal of pathology informatics 2022 1310
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Integrating landmark modeling framework and machine learning algorithms for dynamic prediction of tuberculosis treatment outcomes.
Kheirandish Maryam et al. Journal of the American Medical Informatics Association : JAMIA 2022
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Implementation of Universal Newborn Screening for Severe Combined Immunodeficiency in Singapore While Continuing Routine Bacille-Calmette-Guerin Vaccination Given at Birth.
Chan Su-Wan Bianca et al. Frontiers in immunology 2022 12794221
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Differentiating nontuberculous mycobacterium pulmonary disease from pulmonary tuberculosis through the analysis of the cavity features in CT images using radiomics.
Yan Qinghu et al. BMC pulmonary medicine 2022 22(1) 4
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Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features.
Yang Feng et al. Quantitative imaging in medicine and surgery 2022 12(1) 675-687
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Machine learning based on routine laboratory indicators promoting the discrimination between active tuberculosis and latent tuberculosis infection.
Luo Ying et al. The Journal of infection 2022
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Page last reviewed:
Feb 1, 2023
Page last updated:
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