Recent innovations in artificial intelligence are reshaping medical imaging and diagnostics across oncology and neurology. Uppsala University researchers developed an AI model detecting prostate cancer cases missed by pathologists, enhancing early diagnosis. Likewise, a generalist foundation model combining 2D and 3D radiology data was introduced by Wu and colleagues, promising broader, integrated medical image analysis. Additionally, novel deep learning radiomics models leveraging MRI have improved tongue cancer staging accuracy, signifying AI's growing role in precise tumor characterization. These advances demonstrate significant potential to enhance diagnostic accuracy, streamline workflows, and improve patient outcomes in various medical specialties.