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 Article10.9734/jamps/2026/v28i9891
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 biol...
Open access
Research Article10.9734/jamps/2026/v28i10893
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 Article10.9734/jamps/2026/v28i8884