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.· Journal of Advances in Medic...· 0 citations
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.· Journal of Advances in Medic...· 0 citations
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.· Journal of Advances in Medic...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.