Emmanuel Arhin

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

Ogechi Okoroafor, Musa Shamaki Ibrahim, Chimuanya Ibecheozor, Chioma Emmanuela Ukatu & Emmanuel Arhin · Journal of Advances in Medical and Pharmaceutical Sciences · 2026

Explainable artificial intelligence is widely promoted as the mechanism through which opaque deep learning systems will earn the confidence of clinicians and improve diagnostic performance in medical imaging. The claim has acquired regulatory and commercial momentum faster than i...

Open access Research Article 10.9734/jamps/2026/v28i8884

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

Musa Shamaki Ibrahim, Enock Kumi Ackaah, Charity Benewa Acheampong, Bukola E Shasere, Susana Owusu-Ansah, Godliver Awonlie Alangyam & Emmanuel Arhin · Journal of Advances in Medical and Pharmaceutical Sciences · 2026

Imaging-based screening programmes are constrained by two opposing failures: false-positive results that generate unnecessary recall, anxiety, further imaging and biopsy, and false-negative results that permit disease to progress undetected until the next screening round or until...

Open access Research Article 10.9734/jamps/2026/v28i9891