Denkinger, Claudia M.

The New Xpert MTB/RIF Ultra: Improving Detection of Mycobacterium tuberculosis and Resistance to Rifampin in an Assay Suitable for Point-of-Care Testing

Chakravorty, S., Simmons, A. M., Rowneki, M., Parmar, H., Cao, Y., Ryan, J., Banada, P. P., Deshpande, S., Shenai, S., Gall, A., et al. (2017) · mBio

Tuberculosis Research and EpidemiologyMycobacterium research and diagnosis

Cited by 668

Xpert MTB/RIF assay for the diagnosis of extrapulmonary tuberculosis: a systematic review and meta-analysis

Denkinger, C. M., Schumacher, S. G., Boehme, C. C., Dendukuri, N., Pai, M., & Steingart, K. R. (2014) · European Respiratory Journal

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 527

Diagnostic accuracy of Xpert MTB/RIF Ultra for tuberculous meningitis in HIV-infected adults: a prospective cohort study

Bahr, N. C., Nuwagira, E., Evans, E. E., Cresswell, F. V., Bystrom, P. V., Byamukama, A., Bridge, S. C., Bangdiwala, A. S., Meya, D. B., Denkinger, C. M., et al. (2018) · The Lancet Infectious Diseases

Infectious Diseases and TuberculosisTuberculosis Research and Epidemiology

Cited by 308

Xpert ® MTB/RIF assay for extrapulmonary tuberculosis and rifampicin resistance

Kohli, M., Schiller, I., Dendukuri, N., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2018) · Cochrane Database of Systematic Reviews

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 245

Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults

Kohli, M., Schiller, I., Dendukuri, N., Yao, M., Dheda, K., Denkinger, C. M., Schumacher, S. G., & Steingart, K. R. (2021) · Cochrane Database of Systematic Reviews

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 215

Lateral flow urine lipoarabinomannan assay for detecting active tuberculosis in people living with HIV

Bjerrum, S., Schiller, I., Dendukuri, N., Kohli, M., Nathavitharana, R. R., Zwerling, A. A., Denkinger, C. M., Steingart, K. R., & Shah, M. (2019) · Cochrane Database of Systematic Reviews

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 186

Xpert MTB/RIF Testing in a Low Tuberculosis Incidence, High-Resource Setting: Limitations in Accuracy and Clinical Impact

Sohn, H., Aero, A. D., Menzies, D., Behr, M., Schwartzman, K., Alvarez, G. G., Dan, A., McIntosh, F., Pai, M., & Denkinger, C. M. (2014) · Clinical Infectious Diseases

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 95

Scientific advances and the end of tuberculosis: a report from the Lancet Commission on Tuberculosis

Reid, M., Agbassi, Y. J. P., Arinaminpathy, N., Bercasio, A., Bhargava, A., Bhargava, M., Bloom, A., Cattamanchi, A., Chaisson, R., Chin, D., et al. (2023) · The Lancet

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 87

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

Tavaziva, G., Harris, M., Abidi, S. K., Geric, C., Breuninger, M., Dheda, K., Esmail, A., Muyoyeta, M., Reither, K., Majidulla, A., et al. (2022) · Clinical Infectious Diseases

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 79

The rise of artificial intelligence reading of chest X-rays for enhanced TB diagnosis and elimination

Geric, C., Qin, Z. Z., Denkinger, C. M., Kik, S. V., Marais, B., Anjos, A., David, P.-M., Ahmad Khan, F., & Trajman, A. (2023) · The International Journal of Tuberculosis and Lung Disease

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 61

Performance of Xpert MTB/RIF on pleural tissue for the diagnosis of pleural tuberculosis

Christopher, D. J., Schumacher, S. G., Michael, J. S., Luo, R., Balamugesh, T., Duraikannan, P., Pollock, N. R., Pai, M., & Denkinger, C. M. (2013) · European Respiratory Journal

Tuberculosis Research and EpidemiologyPleural and Pulmonary Diseases

Cited by 60

Computer-aided reading of tuberculosis chest radiography: moving the research agenda forward to inform policy

Ahmad Khan, F., Pande, T., Tessema, B., Song, R., Benedetti, A., Pai, M., Lönnroth, K., & Denkinger, C. M. (2017) · European Respiratory Journal

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 59

Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial (Preprint)

Deckert, A., Anders, S., Morales, I., De Allegri, M., Nguyen, H. T., Souares, A., McMahon, S., Meurer, M., Burk, R., Lou, D., et al. (2022) · JMIR Public Health and Surveillance

SARS-CoV-2 detection and testingCOVID-19 epidemiological studies

Cited by 3

Ribosomal protection as a linezolid resistance mechanism in Mycobacterium abscessus

Funck, T., McGowen, K., Sullivan, M. R., Zinga, S., Wolf, I. D., Nurjadi, D., Denkinger, C. M., & Rubin, E. J. (2025) · Antimicrobial Agents and Chemotherapy

Mycobacterium research and diagnosisTuberculosis Research and Epidemiology

Cited by 1

Ribosomal protection as a linezolid resistance mechanism in Mycobacterium abscessus

Funck, T., McGowen, K., Sullivan, M. R., Zinga, S., Wolf, I. D., Nurjadi, D., Denkinger, C. M., & Rubin, E. J. (2026) · Antimicrobial Agents and Chemotherapy

Mycobacterium research and diagnosisTuberculosis Research and Epidemiology

Cited by 1