International Centre for Diarrhoeal Disease Research

Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms

Zhi Zhen Qin, Shahriar Ahmed, Mohammad Shahnewaz Sarker et al.

2021 · 266 Zit.

Research Misconduct in Low- and Middle-Income Countries

Joseph Ana, Tracey Pérez Koehlmoos, Richard Smith et al.

2013 · 161 Zit.

Artificial intelligence and digital health in improving primary health care service delivery in LMICs: A systematic review

KM Saif‐Ur‐Rahman, Md Shariful Islam, Joan Alaboson et al.

2023 · 43 Zit.

Artificial intelligence and visual inspection in cervical cancer screening

Carolyn Nakisige, Marlieke de Fouw, Johnblack K Kabukye et al.

2023 · 21 Zit.

Expanding molecular diagnostic coverage for tuberculosis by combining computer-aided chest radiography and sputum specimen pooling: a modeling study from four high-burden countries

Andrew James Codlin, Luan Nguyen Quang Vo, Tushar Garg et al.

2024 · 12 Zit.

Implications of Big Data Analytics, AI, Machine Learning, and Deep Learning in the Health Care System of Bangladesh: Scoping Review

Md Ashraful Alam, Md Refat Uz Zaman Sajib, Fariya Rahman et al.

2024 · 9 Zit.

Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data

Subhasish Das, Lauren Erdman, Daniëlla Brals et al.

2024 · 3 Zit.

Exploring the landscape of essential health data science skills and research challenges: a survey of stakeholders in Africa, Asia, and Latin America and the Caribbean

Sally Boylan, Agklinta Kiosia, Matthew Retford et al.

2025 · 2 Zit.