Recent Oncology coverage shows AI moving beyond lesion recognition toward virtual tumor phenotyping, integrated diagnostic support, longitudinal risk forecasting, and reconstruction of clinically valuable signals across sites and…

Neurological AI is shifting from detecting disease to forecasting its course, connecting diagnostic chains, and confronting a harder test: whether performance holds across patients, clinicians, and real-world settings.

Medical AI is shifting from benchmark gains toward deployment-grade evidence: representative cohorts, dynamic prediction, spatial reconstruction, quality control, and rigorous comparison under real clinical conditions.

Radiology AI is moving beyond conspicuous lesions toward occult cancer signals, longitudinal biomarkers, reproducible MRI foundations, and multimodal diagnostic reasoning. The harder question is how these advances enter…

A nationwide German deployment shows that histopathology models can be trained collaboratively across hospitals while data remain local and client-side firewall ports stay closed. The open-source TheODen framework…

Respiratory AI is shifting from recognizing disease to forecasting trajectories, uncovering latent phenotypes, and identifying molecular opportunities for interception. The next test is whether these signals reliably change…

The strongest medical AI this week did more than predict: it exposed concepts, mapped heterogeneity, modeled risk over time, and improved specialist decisions. The next test is whether…

A deep learning model estimated motor, cognitive, and functional scores in Huntington’s disease directly from speech—and its predictions tracked both longitudinal clinical change and MRI evidence of neurodegeneration.

Early changes in tumor-associated blood vessels may reveal treatment benefit before longer-term outcomes become clear. In advanced lung cancer, an interpretable CT-based model used vascular remodeling at 4…

Peanut oral immunotherapy reshaped epitope-level antibody responses in young children, and the children with the lowest and least diverse IgE profiles at baseline were most likely to achieve…