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Precision Health Database


Precision Health Database|Search|PHGKB

Last data update: May 27, 2023. (Total: 59953 Documents since 2012)
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Query Trace: 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
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
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)
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
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
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
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
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
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
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)
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
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
Computer-aided diagnostic for classifying chest X-ray images using deep ensemble learning.
Visuña Lara et al. BMC medical imaging 2022 22(1) 178
Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods.
You Shiying et al. PLOS digital health 2022 1(6)
Raman spectroscopy and machine learning-based optical probe for tuberculosis diagnosis via sputum.
Ullah Ubaid et al. Tuberculosis (Edinburgh, Scotland) 2022 136102251
The Application of Artificial Intelligence in the Diagnosis and Drug Resistance Prediction of Pulmonary Tuberculosis.
Liang Shufan et al. Frontiers in medicine 2022 9935080
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
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
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
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
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
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
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
AutoCellANLS: An Automated Analysis System for Mycobacteria-Infected Cells Based on Unstained Micrograph.
Zhuang Yan et al. Biomolecules 2022 12(2)
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
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
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
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
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
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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