FIND

The Lancet Commission on diagnostics: transforming access to diagnostics

K A Fleming, Susan Horton, Michael L. Wilson et al.

2021 · 391 Zit.

AI for Detection of Tuberculosis: Implications for Global Health

Eui Jin Hwang, Won Gi Jeong, Pierre‐Marie David et al.

2024 · 26 Zit.

Artificial intelligence and infectious disease diagnostics: state of the art and future perspectives

Luca Miglietta, Timothy M. Rawson, Ronald Galiwango et al.

2025 · 11 Zit.

Contexts for developing of national essential diagnostics list. Lessons from a mixed-methods study of existing documents, stakeholders and decision making on tier-specific essential in-vitro diagnostics in African countries

Winny Koster, Elishebah Maruta Mutegi, Francis Ocen et al.

2023 · 10 Zit.

Strengthening health systems through essential diagnostic lists and diagnostic network optimization

Kekeletso Kao, Mikashmi Kohli, Juhi Gautam et al.

2023 · 7 Zit.

Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children

Megan McLaughlin, Karell G. Pellé, Samuel V. Scarpino et al.

2022 · 7 Zit.

AI-CAD for tuberculosis and other global high-burden diseases

Matthew Arentz, Nikhil Jagtiani, Sandra V. Kik et al.

2023 · 5 Zit.

A comparison of CXR-CAD software to radiologists in identifying COVID-19 in individuals evaluated for Sars CoV-2 infection in Malawi and Zambia

Sam Linsen, Aurélie Kamoun, Andrews Gunda et al.

2025 · 1 Zit.

Benchmarking generative AI tools for interpretation of the WHO TB mutation catalogue

Miguel Moreno-Molina, Anita Suresh, Rebecca E. Colman et al.

2026 · 0 Zit.