Intelligent Oncology continues to deliver high-impact research in lung cancer, spanning radiomics to clinical decision-making.

In this comprehensive review, the authors critically evaluate the transformative impact of foundation models and vision-language systems on computational pathology, framing their analysis through a multiscale lens—from cellular morphology and tissue microenvironments to whole-slide image (WSI) analysis and patient-level multimodal integration. Moving beyond traditional task-specific deep learning solutions, the review examines how these emerging data-driven systems are redefining pathological analysis across diverse spatial scales and bridging the gap between pixel-level features and patient-centric clinical decision-making.

In this comprehensive review, the authors critically evaluate the current state and clinical translational potential of AI in robot-assisted radical prostatectomy (RARP). Moving beyond technical novelty, the authors examine whether AI can meaningfully improve surgical outcomes in one of the most common urologic oncologic procedures.