Cargando…

Triage of Persons With Tuberculosis Symptoms Using Artificial Intelligence–Based Chest Radiograph Interpretation: A Cost-Effectiveness Analysis

BACKGROUND: In settings without access to rapid expert radiographic interpretation, artificial intelligence (AI)–based chest radiograph (CXR) analysis can triage persons presenting with possible tuberculosis (TB) symptoms, to identify those who require additional microbiological testing. However, th...

Descripción completa

Detalles Bibliográficos
Autores principales:	Nsengiyumva, Ntwali Placide, Hussain, Hamidah, Oxlade, Olivia, Majidulla, Arman, Nazish, Ahsana, Khan, Aamir J, Menzies, Dick, Ahmad Khan, Faiz, Schwartzman, Kevin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Major Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671604/ https://www.ncbi.nlm.nih.gov/pubmed/34917694 http://dx.doi.org/10.1093/ofid/ofab567

Ejemplares similares

The potential impact and cost-effectiveness of tobacco reduction strategies for tuberculosis prevention in Canadian Inuit communities
por: N’Diaye, Dieynaba S., et al.
Publicado: (2019)

Social and behavioral risk reduction strategies for tuberculosis prevention in Canadian Inuit communities: a cost-effectiveness analysis
por: Uppal, Aashna, et al.
Publicado: (2021)

Evaluating the potential costs and impact of digital health technologies for tuberculosis treatment support
por: Nsengiyumva, Ntwali Placide, et al.
Publicado: (2018)

Chest X-ray Analysis With Deep Learning-Based Software as a Triage Test for Pulmonary Tuberculosis: An Individual Patient Data Meta-Analysis of Diagnostic Accuracy
por: Tavaziva, Gamuchirai, et al.
Publicado: (2021)

The impact of digital health technologies on tuberculosis treatment: a systematic review
por: Ngwatu, Brian Kermu, et al.
Publicado: (2018)

Scaling up target regimens for tuberculosis preventive treatment in Brazil and South Africa: An analysis of costs and cost-effectiveness
por: Nsengiyumva, Ntwali Placide, et al.
Publicado: (2022)

Active screening for tuberculosis in high-incidence Inuit communities in Canada: a cost-effectiveness analysis
por: Uppal, Aashna, et al.
Publicado: (2021)

Diagnostic Outcomes After Chest Radiograph Interpretation in Patients With Suspected Tuberculosis and Negative Sputum Smears in a High-Burden Human Immunodeficiency Virus and Tuberculosis Setting
por: Cudahy, Patrick G. T., et al.
Publicado: (2017)

Cost-effectiveness of novel vaccines for tuberculosis control: a decision analysis study
por: Tseng, Chia-Lin, et al.
Publicado: (2011)

Prioritising attributes for tuberculosis preventive treatment regimens: a modelling analysis
por: Vesga, Juan F., et al.
Publicado: (2022)

The mTST – An mHealth approach for training and quality assurance of tuberculin skin test administration and reading
por: Moayedi-Nia, Saeedeh, et al.
Publicado: (2019)

Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study
por: Jang, Se Bum, et al.
Publicado: (2020)

Pilot Evaluation of an Online Resource for Learning Paediatric Chest Radiograph Interpretation
por: Rajendran, Karthik, et al.
Publicado: (2021)

Impact of DOTS expansion on tuberculosis related outcomes and costs in Haiti
por: Jacquet, Vary, et al.
Publicado: (2006)

Cost of Delivering 12-Dose Isoniazid and Rifapentine Versus 6 Months of Isoniazid for Tuberculosis Infection in a High-Burden Setting
por: Yuen, Courtney M, et al.
Publicado: (2020)

Chest radiographic interpretation – an essential competency for Africa
por: Irusen, Elvis
Publicado: (2023)

How Methodologic Differences Affect Results of Economic Analyses: A Systematic Review of Interferon Gamma Release Assays for the Diagnosis of LTBI
por: Oxlade, Olivia, et al.
Publicado: (2013)

Modeling the impact of tuberculosis interventions on epidemiologic outcomes and health system costs
por: Oxlade, Olivia, et al.
Publicado: (2015)

An Explainable AI-Enabled Framework for Interpreting Pulmonary Diseases from Chest Radiographs
por: Naz, Zubaira, et al.
Publicado: (2023)

The Performance of Computer-Aided Detection Digital Chest X-ray Reading Technologies for Triage of Active Tuberculosis Among Persons With a History of Previous Tuberculosis
por: Kagujje, Mary, et al.
Publicado: (2022)

Tuberculosis preventive treatment in people living with HIV—Is the glass half empty or half full?
por: Oxlade, Olivia, et al.
Publicado: (2021)

Accuracy of the Interpretation of Chest Radiographs for the Diagnosis of Paediatric Pneumonia
por: Elemraid, Mohamed A., et al.
Publicado: (2014)

Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
por: Choi, Hyewon, et al.
Publicado: (2020)

Interpretation difficulty of normal versus abnormal radiographs using a pediatric example
por: Boutis, Kathy, et al.
Publicado: (2016)

Do pediatric intensivists and radiologists concur on the interpretation of chest radiographs?
por: Chambliss, C Robert, et al.
Publicado: (1998)

Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department
por: Huang, Jonathan, et al.
Publicado: (2023)

Checklists for interpreting chest radiographs: a scoping review protocol
por: Sethole, Khethiwe Margaret, et al.
Publicado: (2023)

Economic and modeling evidence for tuberculosis preventive therapy among people living with HIV: A systematic review and meta-analysis
por: Uppal, Aashna, et al.
Publicado: (2021)

The latent tuberculosis cascade-of-care among people living with HIV: A systematic review and meta-analysis
por: Bastos, Mayara Lisboa, et al.
Publicado: (2021)

GeneXpert or chest-X-ray or tuberculin skin testing for household contact assessment (GXT): protocol for a cluster-randomized trial
por: Trajman, Anete, et al.
Publicado: (2022)

Erratum: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation
por: Choi, Hyewon, et al.
Publicado: (2020)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
por: Kim, Chris K., et al.
Publicado: (2022)

Novel Method to Improve Radiologist Agreement in Interpretation of Serial Chest Radiographs in the ICU
por: Castro, Denise A, et al.
Publicado: (2015)

Standardized Interpretation of Chest Radiographs in Cases of Pediatric Pneumonia From the PERCH Study
por: Fancourt, Nicholas, et al.
Publicado: (2017)

Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents
por: Wu, Joy T., et al.
Publicado: (2020)

Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs
por: Shin, Hyun Joo, et al.
Publicado: (2022)

Association of Artificial Intelligence–Aided Chest Radiograph Interpretation With Reader Performance and Efficiency
por: Ahn, Jong Seok, et al.
Publicado: (2022)

Reading chest radiographs in the critically ill (Part I): Normal chest radiographic appearance, instrumentation and complications from instrumentation
por: Khan, Ali Nawaz, et al.
Publicado: (2009)

Immediate chest radiograph interpretation by radiographers improves patient safety related to nasogastric feeding tube placement in children
por: Keyte, Emily, et al.
Publicado: (2021)

The impact of improved detection and treatment of isoniazid resistant tuberculosis on prevalence of multi-drug resistant tuberculosis: A modelling study
por: Romanowski, Kamila, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ph7o49n47go0iavikks54265r7