Muyoyeta, Monde

Final Analysis of a Trial of M72/AS01 E Vaccine to Prevent Tuberculosis

Tait, D. R., Hatherill, M., Van Der Meeren, O., Ginsberg, A. M., Van Brakel, E., Salaun, B., Scriba, T. J., Akite, E. J., Ayles, H. M., Bollaerts, A., et al. (2019) · New England Journal of Medicine

Tuberculosis Research and EpidemiologyImmune responses and vaccinations

Cited by 605

The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia

Muyoyeta, M., Maduskar, P., Moyo, M., Kasese, N., Milimo, D., Spooner, R., Kapata, N., Hogeweg, L., van Ginneken, B., & Ayles, H. (2014) · PLoS ONE

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 98

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

Detection of tuberculosis using digital chest radiography: automated reading vs. interpretation by clinical officers

Maduskar, P., Muyoyeta, M., Ayles, H., Hogeweg, L., Peters-Bax, L., & van Ginneken, B. (2013) · The International Journal of Tuberculosis and Lung Disease

Tuberculosis Research and EpidemiologyAI in cancer detection

Cited by 77