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Author

M. S. Ibrahim

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Review Open access Sep 2026

Artificial Intelligence and Multimodal Data Approaches for Diagnosis, Prognosis, and Treatment Decision Support in Diffuse Large B-Cell Lymphoma and Acute Myeloid Leukaemia: A Systematic Review

Aims: To synthesise and critically appraise evidence on artificial intelligence (AI) and multimodal data approaches for diagnosis, prognosis, and treatment decision support in diffuse large B-cell lymphoma (DLBCL) and acute myeloid leukaemia (AML), and to compare how disease biology shapes model design and clinical rea...

Emmanuel Niiboye Odai, M. S. Ibrahim, Mable Nalugya et al. · 0 citations
Review Open access Aug 2026

Reducing False Positives and False Negatives in Artificial Intelligence-assisted Imaging Screening: A Critical Review of Accuracy, Error Mechanisms and Clinical Translation

The strongest current evidence indicates that artificial intelligence used as triage plus decision support within a double-reading programme increases cancer detection and sensitivity while leaving specificity unchanged and substantially reducing reading workload.

M. S. Ibrahim, Enock Kumi Ackaah, Charity Benewa Acheampong et al. · 0 citations
Review Open access Aug 2026

Explainable Artificial Intelligence, Clinician Trust and Diagnostic Accuracy in Multi-modal Medical Imaging: A Critical Narrative Review

This review critically evaluates the evidence linking explanation to clinician trust and to diagnostic accuracy, with particular attention to multi-modal imaging contexts and concludes that explanation is neither a general solution to opacity nor an irrelevance, but a design variable whose effect on reliance is conditi...

Ogechi Okoroafor, M. S. Ibrahim, Chimuanya Ibecheozor et al. · 0 citations

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