Sindano, Ntazana

Comprehensive pregnancy monitoring with a network of wireless, soft, and flexible sensors in high- and low-resource health settings

Ryu, D., Kim, D. H., Price, J. T., Lee, J. Y., Chung, H. U., Allen, E., Walter, J. R., Jeong, H., Cao, J., Kulikova, E., et al. (2021) · Proceedings of the National Academy of Sciences

Non-Invasive Vital Sign MonitoringAdvanced Sensor and Energy Harvesting Materials

Cited by 105

AI Estimation of Gestational Age from Blind Ultrasound Sweeps in Low-Resource Settings

Pokaprakarn, T., Prieto, J. C., Price, J. T., Kasaro, M. P., Sindano, N., Shah, H. R., Peterson, M., Akapelwa, M. M., Kapilya, F. M., Sebastião, Y. V., et al. (2022) · NEJM Evidence

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 80

A Mobile Phone-Based, Community Health Worker Program for Referral, Follow-Up, and Service Outreach in Rural Zambia: Outcomes and Overview

Schuttner, L., Sindano, N., Theis, M., Zue, C., Joseph, J., Chilengi, R., Chi, B. H., Stringer, J. S. A., & Chintu, N. (2014) · Telemedicine and e-Health

Mobile Health and mHealth ApplicationsICT in Developing Communities

Cited by 58

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

Gomes, R. G., Vwalika, B., Lee, C., Willis, A., Sieniek, M., Price, J. T., Chen, C., Kasaro, M. P., Taylor, J. A., Stringer, E. M., et al. (2022) · Communications Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 47

Hypertension management in rural primary care facilities in Zambia: a mixed methods study

Yan, L. D., Chirwa, C., Chi, B. H., Bosomprah, S., Sindano, N., Mwanza, M., Musatwe, D., Mulenga, M., & Chilengi, R. (2017) · BMC Health Services Research

Blood Pressure and Hypertension StudiesClinical practice guidelines implementation

Cited by 46