Diagnostic performance of artificial intelligence in radiographs for pneumoperitoneum detection: a systematic review and meta-analysis

Ruaa Mustafa Qafesha, Mahmoud Diaa Hindawi, Israa Sharabati, Muhiddin Dervis, Qasi Najah, Ammar Albostani, Ahmed Hamdy G. Ali

Open source

DOI: 10.1093/bjr/tqaf309
Published: 2025-12-24
Container: British Journal of Radiology
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bjr/tqaf309,
  title = {Diagnostic performance of artificial intelligence in radiographs for pneumoperitoneum detection: a systematic review and meta-analysis},
  author = {Ruaa Mustafa Qafesha and Mahmoud Diaa Hindawi and Israa Sharabati and Muhiddin Dervis and Qasi Najah and Ammar Albostani and Ahmed Hamdy G. Ali},
  year = {2025},
  journal = {British Journal of Radiology},
  doi = {10.1093/bjr/tqaf309},
  url = {https://doi.org/10.1093/bjr/tqaf309}
}

RIS

TY  - JOUR
TI  - Diagnostic performance of artificial intelligence in radiographs for pneumoperitoneum detection: a systematic review and meta-analysis
AU  - Ruaa Mustafa Qafesha
AU  - Mahmoud Diaa Hindawi
AU  - Israa Sharabati
AU  - Muhiddin Dervis
AU  - Qasi Najah
AU  - Ammar Albostani
AU  - Ahmed Hamdy G. Ali
PY  - 2025
JO  - British Journal of Radiology
DO  - 10.1093/bjr/tqaf309
UR  - https://doi.org/10.1093/bjr/tqaf309
ER  -

APA

Qafesha, R. M., Hindawi, M. D., Sharabati, I., Dervis, M., Najah, Q., Albostani, A., & Ali, A. H. G. (2025). Diagnostic performance of artificial intelligence in radiographs for pneumoperitoneum detection: a systematic review and meta-analysis. British Journal of Radiology. https://doi.org/10.1093/bjr/tqaf309

Source records

crossref · retrieved 2026-09-26T04:15:50.548Z