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Paper on AI Systems in Low-Resource Settings Presented at AMAI 2024

Paper on AI Systems in Low-Resource Settings Presented at AMAI 2024
From the AMAI 2024 paper on semi-automated classification and detection of community acquired pneumonia.

Malaizyo Muzumala presented the paper Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-Automated Classification and Detection of Community Acquired Pneumonia, co-authored with Ernest Obbie Zulu, Peter Chibuta, Mayumbo Nyirenda and Lighton Phiri, at the Applications of Medical Artificial Intelligence workshop (AMAI 2024) in Marrakech, Morocco.

The paper is published by Springer in Lecture Notes in Computer Science (pp. 116–126, doi:10.1007/978-3-031-82007-6_12) and forms part of the Enterprise Medical Imaging project.

The paper received an Honourable Mention for the Best Student Paper award at AMAI 2024, a satellite event of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024). The work was funded in part by Data Science Africa through the group's African Artificial Intelligence Research Award.

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