Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review.

Abdelgader Adam NE, Ahmed Omer OK, Ahamed F, Mohammed Mansoor ME, Abuelgasim Hassan SM, Mohamed Abdalla AK, Abdelghaffar Osman SM

Open source

DOI: 10.7759/cureus.109880
Published: 2026 May
Container: Cureus
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7759/cureus.109880,
  title = {Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review.},
  author = {Abdelgader Adam NE and Ahmed Omer OK and Ahamed F and Mohammed Mansoor ME and Abuelgasim Hassan SM and Mohamed Abdalla AK and Abdelghaffar Osman SM},
  year = {2026},
  journal = {Cureus},
  doi = {10.7759/cureus.109880},
  url = {https://doi.org/10.7759/cureus.109880}
}

RIS

TY  - JOUR
TI  - Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review.
AU  - Abdelgader Adam NE
AU  - Ahmed Omer OK
AU  - Ahamed F
AU  - Mohammed Mansoor ME
AU  - Abuelgasim Hassan SM
AU  - Mohamed Abdalla AK
AU  - Abdelghaffar Osman SM
PY  - 2026
JO  - Cureus
DO  - 10.7759/cureus.109880
UR  - https://doi.org/10.7759/cureus.109880
ER  -

APA

NE, A. A., OK, A. O., F, A., ME, M. M., SM, A. H., AK, M. A., & SM, A. O. (2026). Evaluating the Diagnostic Performance of AI and Machine Learning in Sickle Cell Disease Detection: A Systematic Review.. Cureus. https://doi.org/10.7759/cureus.109880

Source records

pubmed · retrieved 2026-09-27T00:13:45.629Z