AI for colon cancer: A focus on classification, detection, and predictive modeling
AI holds great promise in colon cancer diagnosis and treatment. Future work should focus on integrating AI tools into clinical workflows through explainable models and standardized validation.
Authors
- Rahimah Zakaria (ORCID: https://orcid.org/0000-0002-2459-3213)
- Asma Saighi (ORCID: https://orcid.org/0000-0003-3790-2262)
- Seyed Jalaleddin Mousavirad (ORCID: https://orcid.org/0000-0001-8661-7578)
- Abdulaziz T. Almaktoom (ORCID: https://orcid.org/0000-0003-4958-5946)
- Ibrahim Elbatal (ORCID: https://orcid.org/0000-0003-3479-5967)
- Saad Harous (ORCID: https://orcid.org/0000-0001-6524-7352)
- Mohamed Abderraouf Ferradji
- Asma Merabet
- Ali Wagdy Mohamed (ORCID: https://orcid.org/0000-0002-5895-2632)
Institutions
- Effat University (SA)
- Cairo University (EG)
- Imam Mohammad ibn Saud Islamic University (SA)
- University of Sharjah (AE)
- Larbi Ben M'hidi University of Oum El Bouaghi (DZ)
- University Ferhat Abbas of Setif (DZ)
- Mid Sweden University (SE)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.106115
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80