Diagnostic performance of an open-source artificial intelligence model for detecting chest infections on after-hours emergency department chest radiographs in Singapore - Takeaways - MDSpire
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Performance of an Open-Source AI Model for Identifying Chest Infections on After-Hours Emergency Department Radiographs in Singapore

  • By

  • Ying Jie Toh

  • Samantha Ying Ying Tan

  • Chin Wah Eng

  • Boon Kee Lee

  • Praveen M Yogendra

  • Min On Tan

  • October 13, 2026

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  • 1

    “This study assesses the diagnostic performance of CheXNeXt…for identifying pulmonary infections on after-hours ED CXRs in Singapore.”.

  • 2

    The study included 1006 frontal CXRs from adult patients at Sengkang General Hospital, acquired from 1 October to 30 October 2024 during after-hours periods.

  • 3

    Radiologists’ reports.

  • 4

    “For consolidation, CheXNeXt yielded sensitivity 0.234, specificity 0.990.”.

  • 5

    “Corresponding values for pneumonia were 0.176, 0.995.”.

Original Source(s)

Diagnostic performance of an open-source artificial intelligence model for detecting chest infections on after-hours emergency department chest radiographs in Singapore

  • by Ying Jie Toh, Samantha Ying Ying Tan, Chin Wah Eng, Boon Kee Lee, Praveen M Yogendra, Min On Tan

  • October 13, 2026

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